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Research ArticleFlexible Mode Control of Grid Connected Wind EnergyConversion System Using Wavelet
Bhavna Jain Sameer Singh Shailendra Jain and R K Nema
MANIT Bhopal 462003 India
Correspondence should be addressed to Bhavna Jain jain bhavna69yahoocom
Received 30 June 2014 Revised 21 January 2015 Accepted 29 January 2015
Academic Editor Ahmet Z Sahin
Copyright copy 2015 Bhavna Jain et al This is an open access article distributed under the Creative Commons Attribution Licensewhich permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited
Small wind turbine systems offer services to critical loads during grid faults and also connected back to grid in normal conditionTheconnection of a wind energy conversion system to the grid requires a robust phase locked loop (PLL) and continuous monitoringof the grid conditions such as overvoltage undervoltage overfrequency underfrequency and grid outages This paper describesa flexible control operation to operate a small wind turbine in both stand-alone mode via planned islanding and grid connectedmode as well In particular a proper monitoring and control algorithm is required for transition between the modes A waveletbased energy function is used for detection of grid disturbances as well as recovery of grid so that transition between the modes ismade To obtain good power quality LCL filter is used to reduce ripples PLL is used for synchronization whenever mode changesfrom stand-alone to grid connected Simulation results from a 10 kW wind energy conversion system are included to show theusefulness of the proposed methods The control method is tested by generated gate pulses for single phase bridge inverter usingfield programmable gate array (FPGA)
1 Introduction
Due to awareness for pollution free environment depletion ofconventional energy sources and growing demand of energyworldwide the government of different countries has beenpromoting electricity generation from renewable sourcesRenewable energy sources are becoming an important optionto meet the growing demand of energy and simultaneouslyhelp in controlling of greenhouse gas emission caused by con-ventional energy sources Anothermajor benefit of renewableenergy source is that it can work in stand-alonemode to fulfilthe customer demand and canwork as grid connected systemto supply extra power generated to grid hence increasing thereliability of power supply
Out of all renewable sources wind power generationtechnology has been grown up in the beginning with fewKW to multi-MW capacity wind turbine manufactured andinstalled An attractive idea of universal mode of small windturbine (SWT) has been implemented in which they caneither operate as stand-alone mode or can work in grid con-nected mode [1 2] Small wind turbines can be used in ruralareas in developed countries where grid is not available [3]
The amplitude and frequency of generated voltage of windplants vary according to speed of wind [4] Hence powerelectronics interfaces are used to convert generated voltageto a fixed dc voltage which can later be either stored or con-verted into required ac voltage and frequencyGrid connectedwind energy conversion systems are more in trend In caseof grid faults WECS system connected to grid can be safelyislanded to serve critical loads connected to it
When a small wind turbine unit is connected to the gridthe voltage and frequency at the point of common couplingare controlled by the grid However in case of weak gridsvoltage sags anddisturbancesmay occurwhenWECS is inter-faced to grid In such situation the wind unit must support tothe grid voltage A wind energy conversion system can workin two different modes they are grid connected and stand-alone modes The stand-aloneislanding mode is a situationin which theWECS is isolated from the utility grid when griddisturbances due to network fault are cropped up Amonitor-ing unit is used to achieve it This unit will help in islandedoperation of WECS in a planned manner when voltage mag-nitude crosses the threshold value
Hindawi Publishing CorporationJournal of EnergyVolume 2015 Article ID 152898 12 pageshttpdxdoiorg1011552015152898
2 Journal of Energy
Voltage source converters
Voltage source converters
PMSGWind turbine
Filters Circuit breaker
GridCritical load
+
minus
AB
C
C
O
L1 L2
Vdc
Figure 1 Schematic diagram of WECS interfacing to grid
Authors in [5] verified experimentally the control algo-rithm applied in SWT working in both stand-alone andgrid connectedmodes Performance of synchronization algo-rithm is also checked which is used to connect DCAC con-verter back to grid after recovery from disturbance A novelmethod novel based on PLL is proposed by Teodorescu andBlaabjerg for grid failure detection and flexible mode switch-ing automatically in which the phase difference between thegrid and the inverter is used to determine grid failure andrecovered from fault [3] Jang andKimpresented three papersstarting in an algorithm improved successively which uti-lizes four system parameters voltage magnitude frequencyphase and total harmonic distortion (THD) of currentfor islanding detection The method monitors changes infour parameters and detects islanding by logical rules [6ndash8]During disturbances many system parameters change signif-icantly Hence selection of most vulnerable system parameterand selection of threshold value is very challenging task foreffective detection of disturbancesMany authors have imple-mented different methods based on wavelet transform (WT)for detection of power quality disturbance [9ndash14] Waveletenergy entropy variance standard deviation mean andwavelet energy are various statistical features suitable fordetection of power quality disturbances and an islandingevent
In this paper a WECS is developed using SIMULINKwith a flexible mode control strategy and synchronizationalgorithm to allow dual mode operation of it as and whenrequired A seamless transfer between the modes is realizedby opening and closing of the circuit breaker as shown inFigure 1 which disconnectsconnects the WECS fromto themain grid [15]Once theWECS is isolated from themain gridWECS will be responsible for maintaining the voltage andfrequencywhile supplying to load During autonomous oper-ation it is essential that inverters should not be overloadedSimultaneously system must ensure that the changes in loadare handled by inverters properly in a control manner
The DCAC converter of WECS is connected to grid toinject active and reactive power Mainly current-controlledvoltage source converter (VSC) is used in grid connectedmode [16 17] Conversely voltage controlled VSC is usedwhen the WECS works in the stand-alone mode To regulatevoltage andmaintain it constant is the major responsibility of
control method used in isolated mode ofWECS During griddisturbances the detection method based on wavelet energyfunction is used to change of mode of operation for gridconnected to isolatedmode ofWECS and vice versa A circuitbreaker is used for this and will switch between the modeson the basis of signal received from control method used
The main objective of this paper is to control the flexiblemode operation of control grid connected wind energyconversion systemusingwavelet energy based function Sincethe wind energy conversion system has been competent tooperate in both grid connected mode and stand-alone modeaccording to the grid conditions the control design is a bittricky This paper is presented as follows Section 2 describesthe inverter control in stand-alone mode of operation Thencontrol methods for grid connected operating mode includ-ing the PLL design and current regulation of the inverterare explained in Section 3 Use of wavelet energy functionfor detecting the status of grid is described in Section 4In Section 5 the verification of the control methods is donethrough simulation resultsThe control scheme implementedin WECS is tested using FPGA in Section 6 Finally conclu-sions are drawn in Section 7
2 Inverter Control in Stand-AloneMode of WECS
Electrical power available at the electrical generator outputof the wind energy conversion system is not sinusoidal innature To get the sinusoidal voltage at supply frequency andto keep the output power optimally constant power elec-tronic interfacing is done between generator and gridloadas shown in Figure 2 In general a power electronic interfacedevice is a combination of a rectifier an energy storage deviceto regulate the DC-link voltage and an inverter
Voltage source inverter of load side is responsible forproviding controlled output voltage in terms of frequency andamplitude [18 19] At load side inverter appropriate controlmethod is applied for generating switching pulses of inverterto produce output of required magnitude and frequency Toachieve it the controlmethod has an output voltage controllerusing any modulation technique Here space vector modula-tion method is implemented The schematic diagram of thecontrol method is shown in Figure 3
Journal of Energy 3
VSWT
Aerodynamic converter PMSG
Wind speed
Power electronic interface Ripple filter Nonlinear
load
Vgig
VdcVinv iinv Vsis VLiL
Trans lineimpedance
Figure 2 Power transfer stages in isolated WECS
3
2
1
1
1
Unit vector conversion Voltage regulatorDiscrete PWM
generator
Unit delayPULSE
Vsa
Vsb
Vsc
Usa
Usb
Usc
Vabc(pu)
m
1
ZUref pulsesVabc inv
Vd ref (pu)
Vref(pu)
Figure 3 Simulation block diagram for SVPWM to generate gate pulses
PI
PI
PI
PIcontrollers
PI
PI
Plowast
++
++
+
+minus
++minus minus
+minus
minus
+minus
+minus
Pmeasured
Vdc ref
Vdc measured
Qlowast
Qmeasured
Ilowastq
Id
Iq
Ilowastd
ed
eq
Vlowastd
Vlowastq
Va
Vb
Vc
SPW
M
DA
DB
DC
eminusj120579
120579
120596Lt
120596Lt
Figure 4 Grid side inverter control
In space vector PWM 3-phase sinusoidal modulatingsignal gets transformed into a revolving voltage vector witha constant magnitude and angular frequency Here the con-stant voltage magnitude is magnitude of desire voltage to beproduced and angular frequency is the sampling frequencyIn space vector based PWM instead of three modulatingsignals for 3-phase a revolving voltage vector is used as avoltage reference This voltage reference vector is sampledonce in every subcycle 119879
119904and sampled voltage vector gives
the voltage command for the given subcycle
3 Inverter Control of WECS in GridConnected Mode
Voltage oriented control (VOC) is mostly used for grid sidevoltage source inverter as shown in Figure 4 A phase locked
loop (PLL) is used to find out grid angle 120579 which is usedfor transformation of inverter output currents and outputvoltages in synchronous reference frame To obtain betterresponse of inverter it has been selected to decouple activeand reactive power The active power depends on the 119889-axis current component Similarly reactive power and 119902-axiscurrent component are directly related Therefore the 119889-axisPI controller controls active power and 119902-axis PI controllercontrols reactive power
Grid currents are converted in synchronous referenceframe currents 119894
119889 119894119902to provide separate control for active
and reactive power High power factor and sinusoidal gridcurrents can be obtained by doing so [20]
In order to operate under synchronization with gridthe system uses three PI controllers The DC-link voltagecontroller is used for calculating 119889-axis reference current to
4 Journal of Energy
PI controller
PLL controller
120596ff
Vlowastd = 0
Vq
Vd
1
s
+ ++minus
120596998400 120579998400
120579998400V120572 = 15Vmcos(120596t)V120573 = 15Vmsin(120596t)
abc minus 120572120573 120572120573 minus dqVbVa
Vc
Figure 5 Block diagram of phase locked loop based on synchronous reference frame
control active powerThe 119902-axis reference can be set to zero toget unity power factor By using PI controllers for controllingthe errors in 119889-axis and 119902-axis currents the control voltagesare generated for the 3-0 voltage source inverter in119875119876 controlmethod as shown in Figure 4 and are given by
119881lowast
119889= 119881119889+ 120596119871119905119894119902minus 119890119889
119881lowast
119902= 119881119902minus 120596119871119905119894119889minus 119890119902
(1)
where 119871119905is the total inductance on the grid side inverter and
119890119889and 119890119902are 119889-119902 components of grid side voltage vector
Tuning of PI controllers must be done accurately toobtain better control of DC-link voltage active power andreactive power The feedforward and cross coupling termsused in generation of reference voltage vector in synchronousreference frame help out in system linearization and makecontroller design easier The reference voltages 119881lowast
119889and 119881lowast
119902
are further transformed into and used to generate invertergate pulses through a SVPWM algorithm LCL filter is usedto improve the power quality at the inverter output
4 Grid Status Monitoring andTransition of Modes
41 Phase Locked Loop The utility grid status monitoringmust be done continuously in real time to ensure goodquality power supply to loads The grid status includes sens-ing fault overvoltage and undervoltage conditions Outagedetection is carried out in every sampling cycle by comparingthe instantaneous grid voltage The block diagram of thethree-phase PLL used for synchronization in the grid con-nected mode is as shown in Figure 5 A resonant filter can beadded tomake standardPLLmore robust in case of unbalanceand voltage harmonics
In case of grid failure islanded cannot be avoided Hencesuitable method must be used to detect grid failure For con-nected to grid again when grid returns to its normal condi-tion use of a synchronization algorithm is necessary prior totransition of mode from stand-alone to grid connected Theflowchart shown in Figure 6 is proposed for islanding detec-tion and further for transition from grid connected modeof WECS to stand-alone mode In case of grid disturbances
Grid disturbances detected
No
Yes
Remove previous window dataCaptured discretized signal in
memory
Perform DWT of each frame
Start
Selecting window length to form frame Set the value of threshold
coefficients
Perform mode transition fromgridconnected to stand-alone
Is energy lt threshold 1andenergy gt threshold 2
Calculation of wavelet energy of d6
Figure 6 Flowchart for detection of grid faultsislanding
mode change of WECS from grid connected to stand-aloneis performed in the following steps
(1) Identify grid condition using power quality monitor-ing
(2) Generate a signal to turn off circuit breaker in case ofgrid fault
Journal of Energy 5
Grid returns to normal condition
No
Yes
Remove previous window dataCaptured discretized signal in
memory
Perform DWT of each frame
coefficients
Start
Perform mode transition from
Selecting window length to form frame
Set the values of threshold
stand-alone to gridconnected
Is energy gt threshold 1andenergy lt threshold 2
Calculation of wavelet energy of d6
Figure 7 Flowchart for returning to grid normal operation
(3) Mode transition can be done as soon as the circuitbreaker turns off Change the grid connected modeof WECS to stand-alone mode
(4) In case of stand-alone mode the control strategy willbe voltage controlled In voltage controlled mode ofload side inverter the reference value used for voltagewill be last value of grid voltage whenmode transitiontakes place
The flowchart shown in Figure 7 is proposed for detection ofgrid recovery and transition from stand-alone mode to gridconnected mode of WECS
42 Discrete Wavelet Transform Discrete wavelet transform(DWT) converts a time domain discretized signal into its cor-responding wavelet domain Principally the discrete wavelettransformation has two-phase determination of wavelet coef-ficients and calculation of detailed and approximated versionof the original signal in different scales of resolutions inthe time domain In filtering process the original signalis passed through two complementary filters and producesapproximate and detail coefficients To extend the frequencyresolution decomposition of signal is done repeatedly andsignal can be realized into two lower frequency ranges Thisprocess is known as multiresolution analysis (MRA) and goalof MRA is to represent a complex signal by several simplesignals to study them separately
43 Frame Length Coefficients of wavelet transform repre-sent the energy of the signalThese coefficients will be used tomeasure themagnitude of the disturbance in distorted signalIn real time application wavelet transform can be used as amonitoring tool when it becomes essential to detect distur-bances in minimum time For such cases distorted signal isprocessed through timewindowof fixed length frame Lengthof the frame means the number of sample points of discretedata signal for which wavelet energy has to be calculatedThe time window move forward along the signal and waveletenergy is calculated for each frame Frame length decides theresponse time of the method If length of the frame is longit will take more time in calculation and response time willget delayed Sampling frequency size of buffer and level ofdecomposition are three main factors which must be wiselyselected according to application A fixed frame length ofsample points 128 is used in this paper to obtain fast responsetime The sampling frequency selection has been doneaccording to Parsevalrsquos theorem and decomposition has beendone into 6th level
44Wavelet Energy Thediscrete wavelet divides a signal intoapproximated and detailed version of the original signal indifferent scales of resolutions in the time domain using low-pass and high-pass filters Decomposition of approximateversion can be repeated to obtain signal in required frequencysubbandswith number of approximate and detail coefficientsSum of coefficients square at a particular level represent theenergy of the signal at that level These coefficients will beused to compute the level of the disturbance in distortedsignal Wavelet energy measure based on wavelet analysis isable to observe the unsteady signal and complexity of thesystem at time-frequency planeThemother wavelet functionselected is db and scale factor 2 that is according to literaturereviews The signal is decomposed into 6th level Hence cD6coefficients will represent the fundamental frequency com-ponent of the signal and coefficients energy will be calculatedby using
119864119895=
119873
sum
119896=1
10038161003816100381610038161003816119863119895119896
10038161003816100381610038161003816
2
119895 = 1 2 119897 (2)
where 119863119895119896is the value of wavelet detail coefficients obtained
in decomposition from level 1 to level 119869119873 is the total numberof the coefficients at each decomposition level and 119864
119895is the
energy of the detail coefficients at decomposition level 119895
45 Deciding Threshold The most important part of moni-toring algorithm is deciding the setting for threshold levelThe value should be selected to change mode of WECSwhenever voltage of any phase crosses the standard limitssuch as voltage dip of less than 08 pu or voltage swell ofmagnitude more than 12 pu Simultaneously it should notcause unnecessary false tripping of circuit breaker in case ofsmall voltage dip or swell It is the value of wavelet energycalculated for output voltage signal (grid voltage) under nor-mal grid condition plus a variation allowed as per standardsFor calculating the threshold a reference signal of same frame
6 Journal of Energy
Voltage source converters
Voltage source converters
PMSGWind turbine
LCL filter
Voltagesensor
SVPWMSynchronous
reference framecontroller
Pulse isolationand amplifier
Critical loadCurrent
sensor
TransformerGrid
Circuit breaker
Voltagesensor
DWT controller
Voltagesensor
minus
+
S1
S2
S3
S4
S5
S6
O
AB
C
C
CDC
L1 L2
ig1 ig2ig3ig4 ig5ig6
Vlowastabc
VabcIabc
Figure 8 Schematic diagram of WECS connected to grid
Table 1 Parameters selection for proposed method
Parameter Peak voltage level (119881) Wavelet energy (1198812) Normalized wavelet energyPeak voltage of grid 325 23 lowast 119890610
5 23Permissible limit of voltage swell 390 40 lowast 119890610
5 40Permissible limit of voltage sag 260 11 lowast 119890610
5 11
length decomposed in 6th level using same mother waveletfunction db2 and coefficients energy of cD6 is calculatedPermissible variation in reference signal is considered andthe entire procedure is repeated to calculate lower and upperthreshold settings Table 1 is listing the wavelet energy fordifferent cases which helps in deciding lower and upperthreshold settings
5 Schematic Diagram of SystemResults and Discussions
A schematic diagram of grid connected WECS consists of3-0 PMSG full-bridge rectifier DC-link capacitor a 3-0IGBT based full-bridge inverter critical load LCL filtertransformer and circuit breaker and 400 volt 50Hz ac sourceis shown Figure 8 The system parameters used in simulationare given in Table 2 Simulation model of the system isdeveloped inMATLABsimulink environment All the valuesgiven in Table 2 have been calculated during mathematicalmodelling of WECS and grid connected WECS
51 Before Fault Figure 9 shows the output voltages undernormal grid condition It shows that the implemented controlmethod of voltage source inverter is maintaining the outputin desired form Figure 10 shows load voltage and loadcurrent under normal grid condition
52 During Fault It can be seen from Figure 11 that in caseof fault in phase B grid voltages of phase A and phase C have
Table 2 Design parameters for simulation
Description Symbolicrepresentation Value
Capacitor 119862dc 2200 120583FDC-link voltage 119881DC 650 voltsAC output voltage 119881
119904230 volts rms
AC output frequency 119891 50HzInverter side filter inductor 119871
102mH
Grid side filter inductor 1198712
01mHFilter capacitor 119862
110120583F
Inverter switching frequency 119891119904
3 kHz
been inceased Grid fault occurs at 119905 = 045 sec and continuestill 119905 = 07 sec Monitoring algorithm is constantly moni-toring the grid condition Such cases must be detected andreported to utility intactive inverter at the earliest so that sup-ply to critical load will be continued by intentional islandingof WECS The load is supplied fromWECS and grid currentis zero in case of grid fault Source current and load currents(local and shared load both) which are now supplied fromWECS in case of grid not present can be seen from Figure 12
Grid fault causes voltage variations in all the three phasesVoltage waveform of all the three phases and correspondingcoefficients energy plots are displayed in Figures 13 14 and 15respectively in red green (istead of yellow for improvedvisibility) and blue color for phase A phase B and phase CWavelet energy is normalized as calculated value has very
Journal of Energy 7
05 055 06 065 07 075 08
0100200300400
Time (s)
Grid
vol
tage
s (V
)
minus100
minus200
minus300
minus400
VaVbVc
Figure 9 Three-phase grid voltages before fault
05 06 07 08 09 1
0
325400
Time (s)
Load voltageLoad current
Load
vol
tage
(V)
Load
curr
ent (
amps
)
minus200
minus325minus400
Figure 10 Output waveform of load voltage and load current beforefault
large value and even a large change in coeficients energy can-not be clearly observed from actual plots of wavelet energyGrid voltages and corresponding coefficients energy plot aregraphical representation of change in wavelet coefficientsenergy in case of grid disturbances Threshold level withcalculated threshold further helps in transition of modesfrom grid connected to stand-alone and vice versa
At 119905 = 045 sec grid fault occurs wavelet based monitor-ing algorithm detects it at 048 sec and changes the mode ofWECS from grid connected to stand-alone Many distribu-tion systems use autoreclosing to clear temporary faults andhence it is essential to detect grid faults before the autore-closer operates to avoid out phase reclosing Grid fault causesvoltage variations in all the three phases which can beobserved clearly in Figure 16
Transition of mode from grid connected to stand-aloneoccured at 048 sec which is the total time taken by the pro-posed method in detection of grid disturbance and furtherisolate the WECS by operting circuit breaker which discon-nects it from grid When mode trasition occurs controllerof VSI changes its mode and continues to feed power to theload connected to it The grid monitoring algorithm detectsfault and changes mode of operation from grid connected
04 045 05 055 06 065 07 075 08 085 09
325
0
325
500
Time (s)
Grid
vol
tage
s (V
)
minus500
VaVbVc
Figure 11 Three-phase grid voltages during disturbance
04 045 05 055 06 065 07 075 08 085 09
0
10
20
30
Time (s)
Source currentLocal load currentShared load current
Sour
ce cu
rren
t (am
ps)
minus10
minus20
minus30
Figure 12 Source current local load current and shared load cur-rent
mode to stand-alone mode at 048 sec when circuit breakersopensThe timings of mode change and circuit breaker status(1 means WECS grid connected 0 means disconnected fromgrid) can be seen from Figure 17 Figure 18 displays the lowerthreshold value due to which transition occurs
Grid voltage of all the phases and corresponding coef-ficients energy plots are shown in Figures 19 20 and 21respectively of phase A phase B and phase C Grid voltagesand corresponding coefficients energy plot are graphical rep-resentation of wavelet coefficients energy A small change involtages at load terminal (PCC) can be observed in the signaland associated wavelet energy plot in Figures 19 20 and 21that is due to change of load because of mode transitionWECS is now fed power to critical load and local loads con-nected to it Monitoring is still continued at PCC to check forgrid condition On the basis of threshold value of waveletenergy transition occurs from stand-alone mode to gridconnected mode which can be observed from Figures 19(a)and 19(b) at time 07 sec when fault is cleared
The power conditioning module for both the modesis based space vector pulse width modulation Instead ofconventional SVM triangular carrier based SVM is used to
8 Journal of Energy
03 04 05 06 07 08 09 1 11
0
325
500
Time (s)
Grid
vol
tage
pha
se A
(V)
minus325
minus500
Vga
(a)
03 04 05 06 07 08 09 1 110
102030405060708090
100
Time (s)
Wav
elet e
nerg
y ph
ase A
(V2)
EVa
(b)
Figure 13 (a) Voltage signal and (b) corresponding wavelet energy plot of phase A
03 04 05 06 07 08 09 1 11500
0
325
500
Time (s)
Grid
vol
tage
pha
se B
(V)
minus325
Vgb
(a)
03 04 05 06 07 08 09 1 110
5
10
15
20
25
Time (s)
Wav
elet e
nerg
y ph
ase B
(V2)
EVb
(b)
Figure 14 (a) Voltage signal and (b) corresponding wavelet energy plot for fault in phase B
03 04 05 06 07 08 09 1 11
325
0
325
500
Time (s)
Grid
vol
tage
pha
se C
(V)
minus500
Vgc
(a)
03 04 05 06 07 08 09 1 1110
15
20
25
30
35
40
Time (s)
Wav
elet e
nerg
y ph
ase C
(V2)
EVc
(b)
Figure 15 (a) Voltage signal and (b) corresponding wavelet energy plot of phase C
reduce computation burden as sector determination is notrequired in implementation The benefits of using DWT andwavelet energy based algorithm are accurate detection of startand end time of occurrence of any event or varaitions Accu-rate and quick detection can also be helpful for protection ofequipments as well as for the safety and stability of the system
6 Generation of Gate Pulses for Single PhaseBridge Inverter Using FPGA
In grid connected mode as well as in stand-alone mode ofWECS space vector pulse width modulation scheme hasbeen used for inverter control Its performance is checked
Journal of Energy 9
04 045 05 055 06 065 07 075 08 085 09
0100200300400
Time (s)In
vert
er v
olta
ges (
V)
minus100
minus200
minus300
minus400
ViaVibVic
Figure 16 Three-phase voltages at PCC
03 04 05 06 07 08 09 1 110
02040608
112141618
2
Time (s)
Tran
sitio
n of
mod
es
Circuit breaker status (onoff)
Gridconnected mode of WECS
Stand-alone mode of WECS
X = 048Y = 0
Figure 17 Transition of modes
04 045 05 055 06 065 07 075 08 085 0905
10152025303540
Time (s)
Wavelet energyLower threshold
Lower threshold
Wav
elet e
nerg
y ph
ase A
(V2)
Figure 18 Threshold settings
using FPGA with Altium NB 3000 Xilinx Spartan 3ANprocessor Step-by-step procedure for generating invertergate pulse is shown in Figure 22 XILINX ISE design suite145 is used formodel based design for PWMpulse generationfor single phase bridge inverter and Altium designer softwareis used for FPGA project design Number of steps has beenperformed for bit file generation using Altium design soft-ware It generates the programming file that is required for
downloading the design to the physical device A detailedprocedure for project design using FPGA is given in [21]
Schematic diagram to test SVPWM control method forgenerating gate pulses using FPGA is shown in Figure 23
Sine waveform and triangular carrier waveform of fre-quency 500Hz are given as input by ADC-SPI port andinverter gate pulses are obtained by user IO port which isshown in Figures 24 and 25 respectively
10 Journal of Energy
03 04 05 06 07 08 09 1 11
0
325
500
Time (s)
Volta
ge at
PCC
pha
se A
(V)
minus325
minus500
Via
(a)
03 04 05 06 07 08 09 1 112021222324252627282930
Time (s)
Wav
elet e
nerg
y PC
C ph
ase A
(V2)
X = 045009Y = 242683
EVa at PCC
(b)
Figure 19 (a) Voltage signal and (b) wavelet energy plot at PCC for phase A
03 04 05 06 07 08 09 1 11
0
325
500
Time (s)
Volta
ge at
PCC
pha
se B
(V)
minus325
minus500
Vib
(a)
03 04 05 06 07 08 09 1 1110
15
20
25
30
35
40
Time (s)
Wav
elet e
nerg
y PC
C ph
ase B
(V2)
EVa at PCC
(b)
Figure 20 (a) Voltage signal and (b) wavelet energy plot at PCC for phase B
03 04 05 06 07 08 09 1 11
0
325
500
Time (s)
Volta
ge at
PCC
pha
se C
(V)
minus325
minus500
Vic
(a)
03 04 05 06 07 08 09 1 1110
20
30
Time (s)
Wav
elet e
nerg
y PC
C ph
ase C
(V2)
EVc at PCC
(b)
Figure 21 (a) Voltage signal and (b) wavelet energy plot at PCC for phase C
7 Conclusions
The proposed method has been implemented for a 10 kWwind energy conversion system with rectifier-inverter inter-face which can work in grid connected mode as well as instand-alone mode The benefit of the used control schemeis that switching between the two operating modes happens
automatically on the basis of output of energy function Themost important feature of the system is its adaptability towork in both of the operatingmodes properly PLL is used forsynchronization in grid connected mode Simulation resultsdemonstrate the working and transition between the modesof WECS in only 3ms time and no transients appear duringtransition of modes
Journal of Energy 11
Bit file downloaded to FPGA board
Xilinx model based design using system generator
Netlist generation (VHDL file)
Altium designer software(VHDL file as a source file)
FPGA project design(open bus system design for SPI-ADC and
generated VHDL file as source file)
Compilation synthesis translate mappingplace and route time analysis and bit file generation
Figure 22 Step-by-step procedure for inverter gate pulse generationusing FPGA
IGBT module
Sine wave Triangular carrier
FPGA
S1 S2 S3 S4
LoadVDC
Figure 23 Schematic diagram for hardware setup
Figure 24 Load voltage and load current through RL load
Figure 25 Inverter output voltage and output gate pulses for singlephase bridge inverter
The tests concluded that detectionmethod has the follow-ing properties
(i) Detect grid disturbances event in just 3ms(ii) Accurate detection and quick transition maintain the
power quality and supply uninterrupted power tocritical load in case of grid outage
(iii) It is suitable for detection of steady state and transientstate disturbances both
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
References
[1] R Teodorescu F Iov and F Blaabjerg ldquoFlexible developmentand test system for 11kW wind turbinerdquo in Proceedings of theIEEE 34th Annual Power Electronics Specialists Conference pp67ndash72 June 2003
[2] N A Orlando M Liserre R A Mastromauro and ADellrsquoAquila ldquoA survey of control issues in pmsg-based smallwind-turbine systemsrdquo IEEE Transactions on Industrial Infor-matics vol 9 no 3 pp 1211ndash1221 2013
[3] R Teodorescu and F Blaabjerg ldquoFlexible control of small windturbines with grid failure detection operating in stand-aloneand grid-connected moderdquo IEEE Transactions on Power Elec-tronics vol 19 no 5 pp 1323ndash1332 2004
[4] B Singh andG K Kasal ldquoSolid state voltage and frequency con-troller for a stand alone wind power generating systemrdquo IEEETransactions on Power Electronics vol 23 no 3 pp 1170ndash11772008
[5] A Milczarek and M Malinowski ldquoMonitoring and controlalgorithms applied to small wind turbine with grid-connectedstand-alonemode of operationrdquoPrzeglad Elektrotechniczny vol88 pp 18ndash22 2012
[6] S I Jang and K H Kim ldquoAn islanding detection methodfor distributed generations using voltage unbalance and totalharmonic distortion of currentrdquo IEEE Transactions on PowerDelivery vol 19 no 2 pp 745ndash752 2004
[7] S I Jang and K H Kim ldquoA new islanding detection algorithmfor distributed generations interconnected with utility net-worksrdquo in Proceedings of the 8th IEE International Conference
12 Journal of Energy
on Developments in Power System Protection vol 2 pp 571ndash574IET April 2004
[8] S-I Jang and K-H Kim ldquoDevelopment of a logical rule-based islanding detection method for distributed resourcesrdquoin Proceedings of the IEEE Power Engineering Society WinterMeeting vol 2 pp 800ndash806 January 2002
[9] J W Resende M L R Chaves and C Penna ldquoIdentificationof power quality disturbances using the MATLAB wavelettransform toolboxrdquo in Proceedings of the 4th InternationalConference on Power Systems Transients (IPST rsquo01) Rio deJaneiro Brazil June 2001
[10] C Kocaman and M Ozdemir ldquoComparison of statisticalmethods and wavelet energy coefficients for determining twocommon PQ disturbances sag and wellrdquo in Proceedings of the6th International Conference on Electrical and Electronics Engi-neering (ELECO rsquo09) pp I80ndashI84 November 2009
[11] P K Ray N Kishor and S R Mohanty ldquoIslanding and powerquality disturbance detection in grid-connected hybrid powersystem using wavelet and S-transformrdquo IEEE Transactions onSmart Grid vol 3 no 3 pp 1082ndash1094 2012
[12] R Tirumala N Mohan and C Henze ldquoSeamless transfer ofgrid-connected PWM inverters between utility-interactive andstand-alone modesrdquo in Proceedings of the 17th Annual IEEEApplied Power Electronics Conference and Expositions (APECrsquo02) pp 1081ndash1086 March 2002
[13] A Timbus M Liserre R Teodorescu P Rodriguez and FBlaabjerg ldquoEvaluation of current controllers for distributedpower generation systemsrdquo IEEE Transactions on Power Elec-tronics vol 24 no 3 pp 654ndash664 2009
[14] S W Mohod and V A Mohan ldquoPower quality issues and itrsquosmitigation technique in wind energy generationrdquo in Proceedingsof the 13th International Conference on Harmonics and Qualityof Power (ICHQP rsquo08) Wollongong Australia October 2008
[15] C N Bhende S Mishra and S G Malla ldquoPermanent magnetsynchronous generator-based standalone wind energy supplysystemrdquo IEEE Transactions on Sustainable Energy vol 2 no 4pp 361ndash373 2011
[16] J M Carrasco L G Franquelo J T Bialasiewicz et al ldquoPower-electronic systems for the grid integration of renewable energysources a surveyrdquo IEEE Transactions on Industrial Electronicsvol 53 no 4 pp 1002ndash1016 2006
[17] C L Anooja andN Leena ldquoSingle phase shunt active filter withfuzzy controller for harmonic mitigationrdquo International Journalof Scientific amp Engineering Research vol 4 no 9 pp 445ndash4512013
[18] L G B Rolim D R Da Costa Jr and M Aredes ldquoAnalysisand software implementation of a robust synchronizing PLLcircuit based on the pq theoryrdquo IEEE Transactions on IndustrialElectronics vol 53 no 6 pp 1919ndash1926 2006
[19] B Jain T Jain S Jain and R K Nema ldquoPower quality improve-ment of an isolated wind power generation systemrdquo IOSRJournal of Electrical and Electronics Engineering vol 9 no 3 pp33ndash50 2014
[20] K Zhou and D Wang ldquoRelationship between space-vectormodulation and three-phase carrier-based PWM a compre-hensive analysisrdquo IEEE Transactions on Industrial Electronicsvol 49 no 1 pp 186ndash196 2002
[21] X Computation ldquoGetting started with the Xilinx Virtex-6FPGAMI-605 evaluation Kitrdquo 2010
TribologyAdvances in
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Power ElectronicsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
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Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Renewable Energy
Submit your manuscripts athttpwwwhindawicom
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International Journal of
RotatingMachinery
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
EnergyJournal of
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Hindawi Publishing Corporation httpwwwhindawicom
Journal ofEngineeringVolume 2014
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Wind EnergyJournal of
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Nuclear EnergyInternational Journal of
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High Energy PhysicsAdvances in
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
2 Journal of Energy
Voltage source converters
Voltage source converters
PMSGWind turbine
Filters Circuit breaker
GridCritical load
+
minus
AB
C
C
O
L1 L2
Vdc
Figure 1 Schematic diagram of WECS interfacing to grid
Authors in [5] verified experimentally the control algo-rithm applied in SWT working in both stand-alone andgrid connectedmodes Performance of synchronization algo-rithm is also checked which is used to connect DCAC con-verter back to grid after recovery from disturbance A novelmethod novel based on PLL is proposed by Teodorescu andBlaabjerg for grid failure detection and flexible mode switch-ing automatically in which the phase difference between thegrid and the inverter is used to determine grid failure andrecovered from fault [3] Jang andKimpresented three papersstarting in an algorithm improved successively which uti-lizes four system parameters voltage magnitude frequencyphase and total harmonic distortion (THD) of currentfor islanding detection The method monitors changes infour parameters and detects islanding by logical rules [6ndash8]During disturbances many system parameters change signif-icantly Hence selection of most vulnerable system parameterand selection of threshold value is very challenging task foreffective detection of disturbancesMany authors have imple-mented different methods based on wavelet transform (WT)for detection of power quality disturbance [9ndash14] Waveletenergy entropy variance standard deviation mean andwavelet energy are various statistical features suitable fordetection of power quality disturbances and an islandingevent
In this paper a WECS is developed using SIMULINKwith a flexible mode control strategy and synchronizationalgorithm to allow dual mode operation of it as and whenrequired A seamless transfer between the modes is realizedby opening and closing of the circuit breaker as shown inFigure 1 which disconnectsconnects the WECS fromto themain grid [15]Once theWECS is isolated from themain gridWECS will be responsible for maintaining the voltage andfrequencywhile supplying to load During autonomous oper-ation it is essential that inverters should not be overloadedSimultaneously system must ensure that the changes in loadare handled by inverters properly in a control manner
The DCAC converter of WECS is connected to grid toinject active and reactive power Mainly current-controlledvoltage source converter (VSC) is used in grid connectedmode [16 17] Conversely voltage controlled VSC is usedwhen the WECS works in the stand-alone mode To regulatevoltage andmaintain it constant is the major responsibility of
control method used in isolated mode ofWECS During griddisturbances the detection method based on wavelet energyfunction is used to change of mode of operation for gridconnected to isolatedmode ofWECS and vice versa A circuitbreaker is used for this and will switch between the modeson the basis of signal received from control method used
The main objective of this paper is to control the flexiblemode operation of control grid connected wind energyconversion systemusingwavelet energy based function Sincethe wind energy conversion system has been competent tooperate in both grid connected mode and stand-alone modeaccording to the grid conditions the control design is a bittricky This paper is presented as follows Section 2 describesthe inverter control in stand-alone mode of operation Thencontrol methods for grid connected operating mode includ-ing the PLL design and current regulation of the inverterare explained in Section 3 Use of wavelet energy functionfor detecting the status of grid is described in Section 4In Section 5 the verification of the control methods is donethrough simulation resultsThe control scheme implementedin WECS is tested using FPGA in Section 6 Finally conclu-sions are drawn in Section 7
2 Inverter Control in Stand-AloneMode of WECS
Electrical power available at the electrical generator outputof the wind energy conversion system is not sinusoidal innature To get the sinusoidal voltage at supply frequency andto keep the output power optimally constant power elec-tronic interfacing is done between generator and gridloadas shown in Figure 2 In general a power electronic interfacedevice is a combination of a rectifier an energy storage deviceto regulate the DC-link voltage and an inverter
Voltage source inverter of load side is responsible forproviding controlled output voltage in terms of frequency andamplitude [18 19] At load side inverter appropriate controlmethod is applied for generating switching pulses of inverterto produce output of required magnitude and frequency Toachieve it the controlmethod has an output voltage controllerusing any modulation technique Here space vector modula-tion method is implemented The schematic diagram of thecontrol method is shown in Figure 3
Journal of Energy 3
VSWT
Aerodynamic converter PMSG
Wind speed
Power electronic interface Ripple filter Nonlinear
load
Vgig
VdcVinv iinv Vsis VLiL
Trans lineimpedance
Figure 2 Power transfer stages in isolated WECS
3
2
1
1
1
Unit vector conversion Voltage regulatorDiscrete PWM
generator
Unit delayPULSE
Vsa
Vsb
Vsc
Usa
Usb
Usc
Vabc(pu)
m
1
ZUref pulsesVabc inv
Vd ref (pu)
Vref(pu)
Figure 3 Simulation block diagram for SVPWM to generate gate pulses
PI
PI
PI
PIcontrollers
PI
PI
Plowast
++
++
+
+minus
++minus minus
+minus
minus
+minus
+minus
Pmeasured
Vdc ref
Vdc measured
Qlowast
Qmeasured
Ilowastq
Id
Iq
Ilowastd
ed
eq
Vlowastd
Vlowastq
Va
Vb
Vc
SPW
M
DA
DB
DC
eminusj120579
120579
120596Lt
120596Lt
Figure 4 Grid side inverter control
In space vector PWM 3-phase sinusoidal modulatingsignal gets transformed into a revolving voltage vector witha constant magnitude and angular frequency Here the con-stant voltage magnitude is magnitude of desire voltage to beproduced and angular frequency is the sampling frequencyIn space vector based PWM instead of three modulatingsignals for 3-phase a revolving voltage vector is used as avoltage reference This voltage reference vector is sampledonce in every subcycle 119879
119904and sampled voltage vector gives
the voltage command for the given subcycle
3 Inverter Control of WECS in GridConnected Mode
Voltage oriented control (VOC) is mostly used for grid sidevoltage source inverter as shown in Figure 4 A phase locked
loop (PLL) is used to find out grid angle 120579 which is usedfor transformation of inverter output currents and outputvoltages in synchronous reference frame To obtain betterresponse of inverter it has been selected to decouple activeand reactive power The active power depends on the 119889-axis current component Similarly reactive power and 119902-axiscurrent component are directly related Therefore the 119889-axisPI controller controls active power and 119902-axis PI controllercontrols reactive power
Grid currents are converted in synchronous referenceframe currents 119894
119889 119894119902to provide separate control for active
and reactive power High power factor and sinusoidal gridcurrents can be obtained by doing so [20]
In order to operate under synchronization with gridthe system uses three PI controllers The DC-link voltagecontroller is used for calculating 119889-axis reference current to
4 Journal of Energy
PI controller
PLL controller
120596ff
Vlowastd = 0
Vq
Vd
1
s
+ ++minus
120596998400 120579998400
120579998400V120572 = 15Vmcos(120596t)V120573 = 15Vmsin(120596t)
abc minus 120572120573 120572120573 minus dqVbVa
Vc
Figure 5 Block diagram of phase locked loop based on synchronous reference frame
control active powerThe 119902-axis reference can be set to zero toget unity power factor By using PI controllers for controllingthe errors in 119889-axis and 119902-axis currents the control voltagesare generated for the 3-0 voltage source inverter in119875119876 controlmethod as shown in Figure 4 and are given by
119881lowast
119889= 119881119889+ 120596119871119905119894119902minus 119890119889
119881lowast
119902= 119881119902minus 120596119871119905119894119889minus 119890119902
(1)
where 119871119905is the total inductance on the grid side inverter and
119890119889and 119890119902are 119889-119902 components of grid side voltage vector
Tuning of PI controllers must be done accurately toobtain better control of DC-link voltage active power andreactive power The feedforward and cross coupling termsused in generation of reference voltage vector in synchronousreference frame help out in system linearization and makecontroller design easier The reference voltages 119881lowast
119889and 119881lowast
119902
are further transformed into and used to generate invertergate pulses through a SVPWM algorithm LCL filter is usedto improve the power quality at the inverter output
4 Grid Status Monitoring andTransition of Modes
41 Phase Locked Loop The utility grid status monitoringmust be done continuously in real time to ensure goodquality power supply to loads The grid status includes sens-ing fault overvoltage and undervoltage conditions Outagedetection is carried out in every sampling cycle by comparingthe instantaneous grid voltage The block diagram of thethree-phase PLL used for synchronization in the grid con-nected mode is as shown in Figure 5 A resonant filter can beadded tomake standardPLLmore robust in case of unbalanceand voltage harmonics
In case of grid failure islanded cannot be avoided Hencesuitable method must be used to detect grid failure For con-nected to grid again when grid returns to its normal condi-tion use of a synchronization algorithm is necessary prior totransition of mode from stand-alone to grid connected Theflowchart shown in Figure 6 is proposed for islanding detec-tion and further for transition from grid connected modeof WECS to stand-alone mode In case of grid disturbances
Grid disturbances detected
No
Yes
Remove previous window dataCaptured discretized signal in
memory
Perform DWT of each frame
Start
Selecting window length to form frame Set the value of threshold
coefficients
Perform mode transition fromgridconnected to stand-alone
Is energy lt threshold 1andenergy gt threshold 2
Calculation of wavelet energy of d6
Figure 6 Flowchart for detection of grid faultsislanding
mode change of WECS from grid connected to stand-aloneis performed in the following steps
(1) Identify grid condition using power quality monitor-ing
(2) Generate a signal to turn off circuit breaker in case ofgrid fault
Journal of Energy 5
Grid returns to normal condition
No
Yes
Remove previous window dataCaptured discretized signal in
memory
Perform DWT of each frame
coefficients
Start
Perform mode transition from
Selecting window length to form frame
Set the values of threshold
stand-alone to gridconnected
Is energy gt threshold 1andenergy lt threshold 2
Calculation of wavelet energy of d6
Figure 7 Flowchart for returning to grid normal operation
(3) Mode transition can be done as soon as the circuitbreaker turns off Change the grid connected modeof WECS to stand-alone mode
(4) In case of stand-alone mode the control strategy willbe voltage controlled In voltage controlled mode ofload side inverter the reference value used for voltagewill be last value of grid voltage whenmode transitiontakes place
The flowchart shown in Figure 7 is proposed for detection ofgrid recovery and transition from stand-alone mode to gridconnected mode of WECS
42 Discrete Wavelet Transform Discrete wavelet transform(DWT) converts a time domain discretized signal into its cor-responding wavelet domain Principally the discrete wavelettransformation has two-phase determination of wavelet coef-ficients and calculation of detailed and approximated versionof the original signal in different scales of resolutions inthe time domain In filtering process the original signalis passed through two complementary filters and producesapproximate and detail coefficients To extend the frequencyresolution decomposition of signal is done repeatedly andsignal can be realized into two lower frequency ranges Thisprocess is known as multiresolution analysis (MRA) and goalof MRA is to represent a complex signal by several simplesignals to study them separately
43 Frame Length Coefficients of wavelet transform repre-sent the energy of the signalThese coefficients will be used tomeasure themagnitude of the disturbance in distorted signalIn real time application wavelet transform can be used as amonitoring tool when it becomes essential to detect distur-bances in minimum time For such cases distorted signal isprocessed through timewindowof fixed length frame Lengthof the frame means the number of sample points of discretedata signal for which wavelet energy has to be calculatedThe time window move forward along the signal and waveletenergy is calculated for each frame Frame length decides theresponse time of the method If length of the frame is longit will take more time in calculation and response time willget delayed Sampling frequency size of buffer and level ofdecomposition are three main factors which must be wiselyselected according to application A fixed frame length ofsample points 128 is used in this paper to obtain fast responsetime The sampling frequency selection has been doneaccording to Parsevalrsquos theorem and decomposition has beendone into 6th level
44Wavelet Energy Thediscrete wavelet divides a signal intoapproximated and detailed version of the original signal indifferent scales of resolutions in the time domain using low-pass and high-pass filters Decomposition of approximateversion can be repeated to obtain signal in required frequencysubbandswith number of approximate and detail coefficientsSum of coefficients square at a particular level represent theenergy of the signal at that level These coefficients will beused to compute the level of the disturbance in distortedsignal Wavelet energy measure based on wavelet analysis isable to observe the unsteady signal and complexity of thesystem at time-frequency planeThemother wavelet functionselected is db and scale factor 2 that is according to literaturereviews The signal is decomposed into 6th level Hence cD6coefficients will represent the fundamental frequency com-ponent of the signal and coefficients energy will be calculatedby using
119864119895=
119873
sum
119896=1
10038161003816100381610038161003816119863119895119896
10038161003816100381610038161003816
2
119895 = 1 2 119897 (2)
where 119863119895119896is the value of wavelet detail coefficients obtained
in decomposition from level 1 to level 119869119873 is the total numberof the coefficients at each decomposition level and 119864
119895is the
energy of the detail coefficients at decomposition level 119895
45 Deciding Threshold The most important part of moni-toring algorithm is deciding the setting for threshold levelThe value should be selected to change mode of WECSwhenever voltage of any phase crosses the standard limitssuch as voltage dip of less than 08 pu or voltage swell ofmagnitude more than 12 pu Simultaneously it should notcause unnecessary false tripping of circuit breaker in case ofsmall voltage dip or swell It is the value of wavelet energycalculated for output voltage signal (grid voltage) under nor-mal grid condition plus a variation allowed as per standardsFor calculating the threshold a reference signal of same frame
6 Journal of Energy
Voltage source converters
Voltage source converters
PMSGWind turbine
LCL filter
Voltagesensor
SVPWMSynchronous
reference framecontroller
Pulse isolationand amplifier
Critical loadCurrent
sensor
TransformerGrid
Circuit breaker
Voltagesensor
DWT controller
Voltagesensor
minus
+
S1
S2
S3
S4
S5
S6
O
AB
C
C
CDC
L1 L2
ig1 ig2ig3ig4 ig5ig6
Vlowastabc
VabcIabc
Figure 8 Schematic diagram of WECS connected to grid
Table 1 Parameters selection for proposed method
Parameter Peak voltage level (119881) Wavelet energy (1198812) Normalized wavelet energyPeak voltage of grid 325 23 lowast 119890610
5 23Permissible limit of voltage swell 390 40 lowast 119890610
5 40Permissible limit of voltage sag 260 11 lowast 119890610
5 11
length decomposed in 6th level using same mother waveletfunction db2 and coefficients energy of cD6 is calculatedPermissible variation in reference signal is considered andthe entire procedure is repeated to calculate lower and upperthreshold settings Table 1 is listing the wavelet energy fordifferent cases which helps in deciding lower and upperthreshold settings
5 Schematic Diagram of SystemResults and Discussions
A schematic diagram of grid connected WECS consists of3-0 PMSG full-bridge rectifier DC-link capacitor a 3-0IGBT based full-bridge inverter critical load LCL filtertransformer and circuit breaker and 400 volt 50Hz ac sourceis shown Figure 8 The system parameters used in simulationare given in Table 2 Simulation model of the system isdeveloped inMATLABsimulink environment All the valuesgiven in Table 2 have been calculated during mathematicalmodelling of WECS and grid connected WECS
51 Before Fault Figure 9 shows the output voltages undernormal grid condition It shows that the implemented controlmethod of voltage source inverter is maintaining the outputin desired form Figure 10 shows load voltage and loadcurrent under normal grid condition
52 During Fault It can be seen from Figure 11 that in caseof fault in phase B grid voltages of phase A and phase C have
Table 2 Design parameters for simulation
Description Symbolicrepresentation Value
Capacitor 119862dc 2200 120583FDC-link voltage 119881DC 650 voltsAC output voltage 119881
119904230 volts rms
AC output frequency 119891 50HzInverter side filter inductor 119871
102mH
Grid side filter inductor 1198712
01mHFilter capacitor 119862
110120583F
Inverter switching frequency 119891119904
3 kHz
been inceased Grid fault occurs at 119905 = 045 sec and continuestill 119905 = 07 sec Monitoring algorithm is constantly moni-toring the grid condition Such cases must be detected andreported to utility intactive inverter at the earliest so that sup-ply to critical load will be continued by intentional islandingof WECS The load is supplied fromWECS and grid currentis zero in case of grid fault Source current and load currents(local and shared load both) which are now supplied fromWECS in case of grid not present can be seen from Figure 12
Grid fault causes voltage variations in all the three phasesVoltage waveform of all the three phases and correspondingcoefficients energy plots are displayed in Figures 13 14 and 15respectively in red green (istead of yellow for improvedvisibility) and blue color for phase A phase B and phase CWavelet energy is normalized as calculated value has very
Journal of Energy 7
05 055 06 065 07 075 08
0100200300400
Time (s)
Grid
vol
tage
s (V
)
minus100
minus200
minus300
minus400
VaVbVc
Figure 9 Three-phase grid voltages before fault
05 06 07 08 09 1
0
325400
Time (s)
Load voltageLoad current
Load
vol
tage
(V)
Load
curr
ent (
amps
)
minus200
minus325minus400
Figure 10 Output waveform of load voltage and load current beforefault
large value and even a large change in coeficients energy can-not be clearly observed from actual plots of wavelet energyGrid voltages and corresponding coefficients energy plot aregraphical representation of change in wavelet coefficientsenergy in case of grid disturbances Threshold level withcalculated threshold further helps in transition of modesfrom grid connected to stand-alone and vice versa
At 119905 = 045 sec grid fault occurs wavelet based monitor-ing algorithm detects it at 048 sec and changes the mode ofWECS from grid connected to stand-alone Many distribu-tion systems use autoreclosing to clear temporary faults andhence it is essential to detect grid faults before the autore-closer operates to avoid out phase reclosing Grid fault causesvoltage variations in all the three phases which can beobserved clearly in Figure 16
Transition of mode from grid connected to stand-aloneoccured at 048 sec which is the total time taken by the pro-posed method in detection of grid disturbance and furtherisolate the WECS by operting circuit breaker which discon-nects it from grid When mode trasition occurs controllerof VSI changes its mode and continues to feed power to theload connected to it The grid monitoring algorithm detectsfault and changes mode of operation from grid connected
04 045 05 055 06 065 07 075 08 085 09
325
0
325
500
Time (s)
Grid
vol
tage
s (V
)
minus500
VaVbVc
Figure 11 Three-phase grid voltages during disturbance
04 045 05 055 06 065 07 075 08 085 09
0
10
20
30
Time (s)
Source currentLocal load currentShared load current
Sour
ce cu
rren
t (am
ps)
minus10
minus20
minus30
Figure 12 Source current local load current and shared load cur-rent
mode to stand-alone mode at 048 sec when circuit breakersopensThe timings of mode change and circuit breaker status(1 means WECS grid connected 0 means disconnected fromgrid) can be seen from Figure 17 Figure 18 displays the lowerthreshold value due to which transition occurs
Grid voltage of all the phases and corresponding coef-ficients energy plots are shown in Figures 19 20 and 21respectively of phase A phase B and phase C Grid voltagesand corresponding coefficients energy plot are graphical rep-resentation of wavelet coefficients energy A small change involtages at load terminal (PCC) can be observed in the signaland associated wavelet energy plot in Figures 19 20 and 21that is due to change of load because of mode transitionWECS is now fed power to critical load and local loads con-nected to it Monitoring is still continued at PCC to check forgrid condition On the basis of threshold value of waveletenergy transition occurs from stand-alone mode to gridconnected mode which can be observed from Figures 19(a)and 19(b) at time 07 sec when fault is cleared
The power conditioning module for both the modesis based space vector pulse width modulation Instead ofconventional SVM triangular carrier based SVM is used to
8 Journal of Energy
03 04 05 06 07 08 09 1 11
0
325
500
Time (s)
Grid
vol
tage
pha
se A
(V)
minus325
minus500
Vga
(a)
03 04 05 06 07 08 09 1 110
102030405060708090
100
Time (s)
Wav
elet e
nerg
y ph
ase A
(V2)
EVa
(b)
Figure 13 (a) Voltage signal and (b) corresponding wavelet energy plot of phase A
03 04 05 06 07 08 09 1 11500
0
325
500
Time (s)
Grid
vol
tage
pha
se B
(V)
minus325
Vgb
(a)
03 04 05 06 07 08 09 1 110
5
10
15
20
25
Time (s)
Wav
elet e
nerg
y ph
ase B
(V2)
EVb
(b)
Figure 14 (a) Voltage signal and (b) corresponding wavelet energy plot for fault in phase B
03 04 05 06 07 08 09 1 11
325
0
325
500
Time (s)
Grid
vol
tage
pha
se C
(V)
minus500
Vgc
(a)
03 04 05 06 07 08 09 1 1110
15
20
25
30
35
40
Time (s)
Wav
elet e
nerg
y ph
ase C
(V2)
EVc
(b)
Figure 15 (a) Voltage signal and (b) corresponding wavelet energy plot of phase C
reduce computation burden as sector determination is notrequired in implementation The benefits of using DWT andwavelet energy based algorithm are accurate detection of startand end time of occurrence of any event or varaitions Accu-rate and quick detection can also be helpful for protection ofequipments as well as for the safety and stability of the system
6 Generation of Gate Pulses for Single PhaseBridge Inverter Using FPGA
In grid connected mode as well as in stand-alone mode ofWECS space vector pulse width modulation scheme hasbeen used for inverter control Its performance is checked
Journal of Energy 9
04 045 05 055 06 065 07 075 08 085 09
0100200300400
Time (s)In
vert
er v
olta
ges (
V)
minus100
minus200
minus300
minus400
ViaVibVic
Figure 16 Three-phase voltages at PCC
03 04 05 06 07 08 09 1 110
02040608
112141618
2
Time (s)
Tran
sitio
n of
mod
es
Circuit breaker status (onoff)
Gridconnected mode of WECS
Stand-alone mode of WECS
X = 048Y = 0
Figure 17 Transition of modes
04 045 05 055 06 065 07 075 08 085 0905
10152025303540
Time (s)
Wavelet energyLower threshold
Lower threshold
Wav
elet e
nerg
y ph
ase A
(V2)
Figure 18 Threshold settings
using FPGA with Altium NB 3000 Xilinx Spartan 3ANprocessor Step-by-step procedure for generating invertergate pulse is shown in Figure 22 XILINX ISE design suite145 is used formodel based design for PWMpulse generationfor single phase bridge inverter and Altium designer softwareis used for FPGA project design Number of steps has beenperformed for bit file generation using Altium design soft-ware It generates the programming file that is required for
downloading the design to the physical device A detailedprocedure for project design using FPGA is given in [21]
Schematic diagram to test SVPWM control method forgenerating gate pulses using FPGA is shown in Figure 23
Sine waveform and triangular carrier waveform of fre-quency 500Hz are given as input by ADC-SPI port andinverter gate pulses are obtained by user IO port which isshown in Figures 24 and 25 respectively
10 Journal of Energy
03 04 05 06 07 08 09 1 11
0
325
500
Time (s)
Volta
ge at
PCC
pha
se A
(V)
minus325
minus500
Via
(a)
03 04 05 06 07 08 09 1 112021222324252627282930
Time (s)
Wav
elet e
nerg
y PC
C ph
ase A
(V2)
X = 045009Y = 242683
EVa at PCC
(b)
Figure 19 (a) Voltage signal and (b) wavelet energy plot at PCC for phase A
03 04 05 06 07 08 09 1 11
0
325
500
Time (s)
Volta
ge at
PCC
pha
se B
(V)
minus325
minus500
Vib
(a)
03 04 05 06 07 08 09 1 1110
15
20
25
30
35
40
Time (s)
Wav
elet e
nerg
y PC
C ph
ase B
(V2)
EVa at PCC
(b)
Figure 20 (a) Voltage signal and (b) wavelet energy plot at PCC for phase B
03 04 05 06 07 08 09 1 11
0
325
500
Time (s)
Volta
ge at
PCC
pha
se C
(V)
minus325
minus500
Vic
(a)
03 04 05 06 07 08 09 1 1110
20
30
Time (s)
Wav
elet e
nerg
y PC
C ph
ase C
(V2)
EVc at PCC
(b)
Figure 21 (a) Voltage signal and (b) wavelet energy plot at PCC for phase C
7 Conclusions
The proposed method has been implemented for a 10 kWwind energy conversion system with rectifier-inverter inter-face which can work in grid connected mode as well as instand-alone mode The benefit of the used control schemeis that switching between the two operating modes happens
automatically on the basis of output of energy function Themost important feature of the system is its adaptability towork in both of the operatingmodes properly PLL is used forsynchronization in grid connected mode Simulation resultsdemonstrate the working and transition between the modesof WECS in only 3ms time and no transients appear duringtransition of modes
Journal of Energy 11
Bit file downloaded to FPGA board
Xilinx model based design using system generator
Netlist generation (VHDL file)
Altium designer software(VHDL file as a source file)
FPGA project design(open bus system design for SPI-ADC and
generated VHDL file as source file)
Compilation synthesis translate mappingplace and route time analysis and bit file generation
Figure 22 Step-by-step procedure for inverter gate pulse generationusing FPGA
IGBT module
Sine wave Triangular carrier
FPGA
S1 S2 S3 S4
LoadVDC
Figure 23 Schematic diagram for hardware setup
Figure 24 Load voltage and load current through RL load
Figure 25 Inverter output voltage and output gate pulses for singlephase bridge inverter
The tests concluded that detectionmethod has the follow-ing properties
(i) Detect grid disturbances event in just 3ms(ii) Accurate detection and quick transition maintain the
power quality and supply uninterrupted power tocritical load in case of grid outage
(iii) It is suitable for detection of steady state and transientstate disturbances both
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
References
[1] R Teodorescu F Iov and F Blaabjerg ldquoFlexible developmentand test system for 11kW wind turbinerdquo in Proceedings of theIEEE 34th Annual Power Electronics Specialists Conference pp67ndash72 June 2003
[2] N A Orlando M Liserre R A Mastromauro and ADellrsquoAquila ldquoA survey of control issues in pmsg-based smallwind-turbine systemsrdquo IEEE Transactions on Industrial Infor-matics vol 9 no 3 pp 1211ndash1221 2013
[3] R Teodorescu and F Blaabjerg ldquoFlexible control of small windturbines with grid failure detection operating in stand-aloneand grid-connected moderdquo IEEE Transactions on Power Elec-tronics vol 19 no 5 pp 1323ndash1332 2004
[4] B Singh andG K Kasal ldquoSolid state voltage and frequency con-troller for a stand alone wind power generating systemrdquo IEEETransactions on Power Electronics vol 23 no 3 pp 1170ndash11772008
[5] A Milczarek and M Malinowski ldquoMonitoring and controlalgorithms applied to small wind turbine with grid-connectedstand-alonemode of operationrdquoPrzeglad Elektrotechniczny vol88 pp 18ndash22 2012
[6] S I Jang and K H Kim ldquoAn islanding detection methodfor distributed generations using voltage unbalance and totalharmonic distortion of currentrdquo IEEE Transactions on PowerDelivery vol 19 no 2 pp 745ndash752 2004
[7] S I Jang and K H Kim ldquoA new islanding detection algorithmfor distributed generations interconnected with utility net-worksrdquo in Proceedings of the 8th IEE International Conference
12 Journal of Energy
on Developments in Power System Protection vol 2 pp 571ndash574IET April 2004
[8] S-I Jang and K-H Kim ldquoDevelopment of a logical rule-based islanding detection method for distributed resourcesrdquoin Proceedings of the IEEE Power Engineering Society WinterMeeting vol 2 pp 800ndash806 January 2002
[9] J W Resende M L R Chaves and C Penna ldquoIdentificationof power quality disturbances using the MATLAB wavelettransform toolboxrdquo in Proceedings of the 4th InternationalConference on Power Systems Transients (IPST rsquo01) Rio deJaneiro Brazil June 2001
[10] C Kocaman and M Ozdemir ldquoComparison of statisticalmethods and wavelet energy coefficients for determining twocommon PQ disturbances sag and wellrdquo in Proceedings of the6th International Conference on Electrical and Electronics Engi-neering (ELECO rsquo09) pp I80ndashI84 November 2009
[11] P K Ray N Kishor and S R Mohanty ldquoIslanding and powerquality disturbance detection in grid-connected hybrid powersystem using wavelet and S-transformrdquo IEEE Transactions onSmart Grid vol 3 no 3 pp 1082ndash1094 2012
[12] R Tirumala N Mohan and C Henze ldquoSeamless transfer ofgrid-connected PWM inverters between utility-interactive andstand-alone modesrdquo in Proceedings of the 17th Annual IEEEApplied Power Electronics Conference and Expositions (APECrsquo02) pp 1081ndash1086 March 2002
[13] A Timbus M Liserre R Teodorescu P Rodriguez and FBlaabjerg ldquoEvaluation of current controllers for distributedpower generation systemsrdquo IEEE Transactions on Power Elec-tronics vol 24 no 3 pp 654ndash664 2009
[14] S W Mohod and V A Mohan ldquoPower quality issues and itrsquosmitigation technique in wind energy generationrdquo in Proceedingsof the 13th International Conference on Harmonics and Qualityof Power (ICHQP rsquo08) Wollongong Australia October 2008
[15] C N Bhende S Mishra and S G Malla ldquoPermanent magnetsynchronous generator-based standalone wind energy supplysystemrdquo IEEE Transactions on Sustainable Energy vol 2 no 4pp 361ndash373 2011
[16] J M Carrasco L G Franquelo J T Bialasiewicz et al ldquoPower-electronic systems for the grid integration of renewable energysources a surveyrdquo IEEE Transactions on Industrial Electronicsvol 53 no 4 pp 1002ndash1016 2006
[17] C L Anooja andN Leena ldquoSingle phase shunt active filter withfuzzy controller for harmonic mitigationrdquo International Journalof Scientific amp Engineering Research vol 4 no 9 pp 445ndash4512013
[18] L G B Rolim D R Da Costa Jr and M Aredes ldquoAnalysisand software implementation of a robust synchronizing PLLcircuit based on the pq theoryrdquo IEEE Transactions on IndustrialElectronics vol 53 no 6 pp 1919ndash1926 2006
[19] B Jain T Jain S Jain and R K Nema ldquoPower quality improve-ment of an isolated wind power generation systemrdquo IOSRJournal of Electrical and Electronics Engineering vol 9 no 3 pp33ndash50 2014
[20] K Zhou and D Wang ldquoRelationship between space-vectormodulation and three-phase carrier-based PWM a compre-hensive analysisrdquo IEEE Transactions on Industrial Electronicsvol 49 no 1 pp 186ndash196 2002
[21] X Computation ldquoGetting started with the Xilinx Virtex-6FPGAMI-605 evaluation Kitrdquo 2010
TribologyAdvances in
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
AerospaceEngineeringHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
FuelsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal ofPetroleum Engineering
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Industrial EngineeringJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Power ElectronicsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Advances in
CombustionJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Renewable Energy
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
StructuresJournal of
International Journal of
RotatingMachinery
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
EnergyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporation httpwwwhindawicom
Journal ofEngineeringVolume 2014
Hindawi Publishing Corporation httpwwwhindawicom Volume 2014
International Journal ofPhotoenergy
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Nuclear InstallationsScience and Technology of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Solar EnergyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Wind EnergyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Nuclear EnergyInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
High Energy PhysicsAdvances in
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Journal of Energy 3
VSWT
Aerodynamic converter PMSG
Wind speed
Power electronic interface Ripple filter Nonlinear
load
Vgig
VdcVinv iinv Vsis VLiL
Trans lineimpedance
Figure 2 Power transfer stages in isolated WECS
3
2
1
1
1
Unit vector conversion Voltage regulatorDiscrete PWM
generator
Unit delayPULSE
Vsa
Vsb
Vsc
Usa
Usb
Usc
Vabc(pu)
m
1
ZUref pulsesVabc inv
Vd ref (pu)
Vref(pu)
Figure 3 Simulation block diagram for SVPWM to generate gate pulses
PI
PI
PI
PIcontrollers
PI
PI
Plowast
++
++
+
+minus
++minus minus
+minus
minus
+minus
+minus
Pmeasured
Vdc ref
Vdc measured
Qlowast
Qmeasured
Ilowastq
Id
Iq
Ilowastd
ed
eq
Vlowastd
Vlowastq
Va
Vb
Vc
SPW
M
DA
DB
DC
eminusj120579
120579
120596Lt
120596Lt
Figure 4 Grid side inverter control
In space vector PWM 3-phase sinusoidal modulatingsignal gets transformed into a revolving voltage vector witha constant magnitude and angular frequency Here the con-stant voltage magnitude is magnitude of desire voltage to beproduced and angular frequency is the sampling frequencyIn space vector based PWM instead of three modulatingsignals for 3-phase a revolving voltage vector is used as avoltage reference This voltage reference vector is sampledonce in every subcycle 119879
119904and sampled voltage vector gives
the voltage command for the given subcycle
3 Inverter Control of WECS in GridConnected Mode
Voltage oriented control (VOC) is mostly used for grid sidevoltage source inverter as shown in Figure 4 A phase locked
loop (PLL) is used to find out grid angle 120579 which is usedfor transformation of inverter output currents and outputvoltages in synchronous reference frame To obtain betterresponse of inverter it has been selected to decouple activeand reactive power The active power depends on the 119889-axis current component Similarly reactive power and 119902-axiscurrent component are directly related Therefore the 119889-axisPI controller controls active power and 119902-axis PI controllercontrols reactive power
Grid currents are converted in synchronous referenceframe currents 119894
119889 119894119902to provide separate control for active
and reactive power High power factor and sinusoidal gridcurrents can be obtained by doing so [20]
In order to operate under synchronization with gridthe system uses three PI controllers The DC-link voltagecontroller is used for calculating 119889-axis reference current to
4 Journal of Energy
PI controller
PLL controller
120596ff
Vlowastd = 0
Vq
Vd
1
s
+ ++minus
120596998400 120579998400
120579998400V120572 = 15Vmcos(120596t)V120573 = 15Vmsin(120596t)
abc minus 120572120573 120572120573 minus dqVbVa
Vc
Figure 5 Block diagram of phase locked loop based on synchronous reference frame
control active powerThe 119902-axis reference can be set to zero toget unity power factor By using PI controllers for controllingthe errors in 119889-axis and 119902-axis currents the control voltagesare generated for the 3-0 voltage source inverter in119875119876 controlmethod as shown in Figure 4 and are given by
119881lowast
119889= 119881119889+ 120596119871119905119894119902minus 119890119889
119881lowast
119902= 119881119902minus 120596119871119905119894119889minus 119890119902
(1)
where 119871119905is the total inductance on the grid side inverter and
119890119889and 119890119902are 119889-119902 components of grid side voltage vector
Tuning of PI controllers must be done accurately toobtain better control of DC-link voltage active power andreactive power The feedforward and cross coupling termsused in generation of reference voltage vector in synchronousreference frame help out in system linearization and makecontroller design easier The reference voltages 119881lowast
119889and 119881lowast
119902
are further transformed into and used to generate invertergate pulses through a SVPWM algorithm LCL filter is usedto improve the power quality at the inverter output
4 Grid Status Monitoring andTransition of Modes
41 Phase Locked Loop The utility grid status monitoringmust be done continuously in real time to ensure goodquality power supply to loads The grid status includes sens-ing fault overvoltage and undervoltage conditions Outagedetection is carried out in every sampling cycle by comparingthe instantaneous grid voltage The block diagram of thethree-phase PLL used for synchronization in the grid con-nected mode is as shown in Figure 5 A resonant filter can beadded tomake standardPLLmore robust in case of unbalanceand voltage harmonics
In case of grid failure islanded cannot be avoided Hencesuitable method must be used to detect grid failure For con-nected to grid again when grid returns to its normal condi-tion use of a synchronization algorithm is necessary prior totransition of mode from stand-alone to grid connected Theflowchart shown in Figure 6 is proposed for islanding detec-tion and further for transition from grid connected modeof WECS to stand-alone mode In case of grid disturbances
Grid disturbances detected
No
Yes
Remove previous window dataCaptured discretized signal in
memory
Perform DWT of each frame
Start
Selecting window length to form frame Set the value of threshold
coefficients
Perform mode transition fromgridconnected to stand-alone
Is energy lt threshold 1andenergy gt threshold 2
Calculation of wavelet energy of d6
Figure 6 Flowchart for detection of grid faultsislanding
mode change of WECS from grid connected to stand-aloneis performed in the following steps
(1) Identify grid condition using power quality monitor-ing
(2) Generate a signal to turn off circuit breaker in case ofgrid fault
Journal of Energy 5
Grid returns to normal condition
No
Yes
Remove previous window dataCaptured discretized signal in
memory
Perform DWT of each frame
coefficients
Start
Perform mode transition from
Selecting window length to form frame
Set the values of threshold
stand-alone to gridconnected
Is energy gt threshold 1andenergy lt threshold 2
Calculation of wavelet energy of d6
Figure 7 Flowchart for returning to grid normal operation
(3) Mode transition can be done as soon as the circuitbreaker turns off Change the grid connected modeof WECS to stand-alone mode
(4) In case of stand-alone mode the control strategy willbe voltage controlled In voltage controlled mode ofload side inverter the reference value used for voltagewill be last value of grid voltage whenmode transitiontakes place
The flowchart shown in Figure 7 is proposed for detection ofgrid recovery and transition from stand-alone mode to gridconnected mode of WECS
42 Discrete Wavelet Transform Discrete wavelet transform(DWT) converts a time domain discretized signal into its cor-responding wavelet domain Principally the discrete wavelettransformation has two-phase determination of wavelet coef-ficients and calculation of detailed and approximated versionof the original signal in different scales of resolutions inthe time domain In filtering process the original signalis passed through two complementary filters and producesapproximate and detail coefficients To extend the frequencyresolution decomposition of signal is done repeatedly andsignal can be realized into two lower frequency ranges Thisprocess is known as multiresolution analysis (MRA) and goalof MRA is to represent a complex signal by several simplesignals to study them separately
43 Frame Length Coefficients of wavelet transform repre-sent the energy of the signalThese coefficients will be used tomeasure themagnitude of the disturbance in distorted signalIn real time application wavelet transform can be used as amonitoring tool when it becomes essential to detect distur-bances in minimum time For such cases distorted signal isprocessed through timewindowof fixed length frame Lengthof the frame means the number of sample points of discretedata signal for which wavelet energy has to be calculatedThe time window move forward along the signal and waveletenergy is calculated for each frame Frame length decides theresponse time of the method If length of the frame is longit will take more time in calculation and response time willget delayed Sampling frequency size of buffer and level ofdecomposition are three main factors which must be wiselyselected according to application A fixed frame length ofsample points 128 is used in this paper to obtain fast responsetime The sampling frequency selection has been doneaccording to Parsevalrsquos theorem and decomposition has beendone into 6th level
44Wavelet Energy Thediscrete wavelet divides a signal intoapproximated and detailed version of the original signal indifferent scales of resolutions in the time domain using low-pass and high-pass filters Decomposition of approximateversion can be repeated to obtain signal in required frequencysubbandswith number of approximate and detail coefficientsSum of coefficients square at a particular level represent theenergy of the signal at that level These coefficients will beused to compute the level of the disturbance in distortedsignal Wavelet energy measure based on wavelet analysis isable to observe the unsteady signal and complexity of thesystem at time-frequency planeThemother wavelet functionselected is db and scale factor 2 that is according to literaturereviews The signal is decomposed into 6th level Hence cD6coefficients will represent the fundamental frequency com-ponent of the signal and coefficients energy will be calculatedby using
119864119895=
119873
sum
119896=1
10038161003816100381610038161003816119863119895119896
10038161003816100381610038161003816
2
119895 = 1 2 119897 (2)
where 119863119895119896is the value of wavelet detail coefficients obtained
in decomposition from level 1 to level 119869119873 is the total numberof the coefficients at each decomposition level and 119864
119895is the
energy of the detail coefficients at decomposition level 119895
45 Deciding Threshold The most important part of moni-toring algorithm is deciding the setting for threshold levelThe value should be selected to change mode of WECSwhenever voltage of any phase crosses the standard limitssuch as voltage dip of less than 08 pu or voltage swell ofmagnitude more than 12 pu Simultaneously it should notcause unnecessary false tripping of circuit breaker in case ofsmall voltage dip or swell It is the value of wavelet energycalculated for output voltage signal (grid voltage) under nor-mal grid condition plus a variation allowed as per standardsFor calculating the threshold a reference signal of same frame
6 Journal of Energy
Voltage source converters
Voltage source converters
PMSGWind turbine
LCL filter
Voltagesensor
SVPWMSynchronous
reference framecontroller
Pulse isolationand amplifier
Critical loadCurrent
sensor
TransformerGrid
Circuit breaker
Voltagesensor
DWT controller
Voltagesensor
minus
+
S1
S2
S3
S4
S5
S6
O
AB
C
C
CDC
L1 L2
ig1 ig2ig3ig4 ig5ig6
Vlowastabc
VabcIabc
Figure 8 Schematic diagram of WECS connected to grid
Table 1 Parameters selection for proposed method
Parameter Peak voltage level (119881) Wavelet energy (1198812) Normalized wavelet energyPeak voltage of grid 325 23 lowast 119890610
5 23Permissible limit of voltage swell 390 40 lowast 119890610
5 40Permissible limit of voltage sag 260 11 lowast 119890610
5 11
length decomposed in 6th level using same mother waveletfunction db2 and coefficients energy of cD6 is calculatedPermissible variation in reference signal is considered andthe entire procedure is repeated to calculate lower and upperthreshold settings Table 1 is listing the wavelet energy fordifferent cases which helps in deciding lower and upperthreshold settings
5 Schematic Diagram of SystemResults and Discussions
A schematic diagram of grid connected WECS consists of3-0 PMSG full-bridge rectifier DC-link capacitor a 3-0IGBT based full-bridge inverter critical load LCL filtertransformer and circuit breaker and 400 volt 50Hz ac sourceis shown Figure 8 The system parameters used in simulationare given in Table 2 Simulation model of the system isdeveloped inMATLABsimulink environment All the valuesgiven in Table 2 have been calculated during mathematicalmodelling of WECS and grid connected WECS
51 Before Fault Figure 9 shows the output voltages undernormal grid condition It shows that the implemented controlmethod of voltage source inverter is maintaining the outputin desired form Figure 10 shows load voltage and loadcurrent under normal grid condition
52 During Fault It can be seen from Figure 11 that in caseof fault in phase B grid voltages of phase A and phase C have
Table 2 Design parameters for simulation
Description Symbolicrepresentation Value
Capacitor 119862dc 2200 120583FDC-link voltage 119881DC 650 voltsAC output voltage 119881
119904230 volts rms
AC output frequency 119891 50HzInverter side filter inductor 119871
102mH
Grid side filter inductor 1198712
01mHFilter capacitor 119862
110120583F
Inverter switching frequency 119891119904
3 kHz
been inceased Grid fault occurs at 119905 = 045 sec and continuestill 119905 = 07 sec Monitoring algorithm is constantly moni-toring the grid condition Such cases must be detected andreported to utility intactive inverter at the earliest so that sup-ply to critical load will be continued by intentional islandingof WECS The load is supplied fromWECS and grid currentis zero in case of grid fault Source current and load currents(local and shared load both) which are now supplied fromWECS in case of grid not present can be seen from Figure 12
Grid fault causes voltage variations in all the three phasesVoltage waveform of all the three phases and correspondingcoefficients energy plots are displayed in Figures 13 14 and 15respectively in red green (istead of yellow for improvedvisibility) and blue color for phase A phase B and phase CWavelet energy is normalized as calculated value has very
Journal of Energy 7
05 055 06 065 07 075 08
0100200300400
Time (s)
Grid
vol
tage
s (V
)
minus100
minus200
minus300
minus400
VaVbVc
Figure 9 Three-phase grid voltages before fault
05 06 07 08 09 1
0
325400
Time (s)
Load voltageLoad current
Load
vol
tage
(V)
Load
curr
ent (
amps
)
minus200
minus325minus400
Figure 10 Output waveform of load voltage and load current beforefault
large value and even a large change in coeficients energy can-not be clearly observed from actual plots of wavelet energyGrid voltages and corresponding coefficients energy plot aregraphical representation of change in wavelet coefficientsenergy in case of grid disturbances Threshold level withcalculated threshold further helps in transition of modesfrom grid connected to stand-alone and vice versa
At 119905 = 045 sec grid fault occurs wavelet based monitor-ing algorithm detects it at 048 sec and changes the mode ofWECS from grid connected to stand-alone Many distribu-tion systems use autoreclosing to clear temporary faults andhence it is essential to detect grid faults before the autore-closer operates to avoid out phase reclosing Grid fault causesvoltage variations in all the three phases which can beobserved clearly in Figure 16
Transition of mode from grid connected to stand-aloneoccured at 048 sec which is the total time taken by the pro-posed method in detection of grid disturbance and furtherisolate the WECS by operting circuit breaker which discon-nects it from grid When mode trasition occurs controllerof VSI changes its mode and continues to feed power to theload connected to it The grid monitoring algorithm detectsfault and changes mode of operation from grid connected
04 045 05 055 06 065 07 075 08 085 09
325
0
325
500
Time (s)
Grid
vol
tage
s (V
)
minus500
VaVbVc
Figure 11 Three-phase grid voltages during disturbance
04 045 05 055 06 065 07 075 08 085 09
0
10
20
30
Time (s)
Source currentLocal load currentShared load current
Sour
ce cu
rren
t (am
ps)
minus10
minus20
minus30
Figure 12 Source current local load current and shared load cur-rent
mode to stand-alone mode at 048 sec when circuit breakersopensThe timings of mode change and circuit breaker status(1 means WECS grid connected 0 means disconnected fromgrid) can be seen from Figure 17 Figure 18 displays the lowerthreshold value due to which transition occurs
Grid voltage of all the phases and corresponding coef-ficients energy plots are shown in Figures 19 20 and 21respectively of phase A phase B and phase C Grid voltagesand corresponding coefficients energy plot are graphical rep-resentation of wavelet coefficients energy A small change involtages at load terminal (PCC) can be observed in the signaland associated wavelet energy plot in Figures 19 20 and 21that is due to change of load because of mode transitionWECS is now fed power to critical load and local loads con-nected to it Monitoring is still continued at PCC to check forgrid condition On the basis of threshold value of waveletenergy transition occurs from stand-alone mode to gridconnected mode which can be observed from Figures 19(a)and 19(b) at time 07 sec when fault is cleared
The power conditioning module for both the modesis based space vector pulse width modulation Instead ofconventional SVM triangular carrier based SVM is used to
8 Journal of Energy
03 04 05 06 07 08 09 1 11
0
325
500
Time (s)
Grid
vol
tage
pha
se A
(V)
minus325
minus500
Vga
(a)
03 04 05 06 07 08 09 1 110
102030405060708090
100
Time (s)
Wav
elet e
nerg
y ph
ase A
(V2)
EVa
(b)
Figure 13 (a) Voltage signal and (b) corresponding wavelet energy plot of phase A
03 04 05 06 07 08 09 1 11500
0
325
500
Time (s)
Grid
vol
tage
pha
se B
(V)
minus325
Vgb
(a)
03 04 05 06 07 08 09 1 110
5
10
15
20
25
Time (s)
Wav
elet e
nerg
y ph
ase B
(V2)
EVb
(b)
Figure 14 (a) Voltage signal and (b) corresponding wavelet energy plot for fault in phase B
03 04 05 06 07 08 09 1 11
325
0
325
500
Time (s)
Grid
vol
tage
pha
se C
(V)
minus500
Vgc
(a)
03 04 05 06 07 08 09 1 1110
15
20
25
30
35
40
Time (s)
Wav
elet e
nerg
y ph
ase C
(V2)
EVc
(b)
Figure 15 (a) Voltage signal and (b) corresponding wavelet energy plot of phase C
reduce computation burden as sector determination is notrequired in implementation The benefits of using DWT andwavelet energy based algorithm are accurate detection of startand end time of occurrence of any event or varaitions Accu-rate and quick detection can also be helpful for protection ofequipments as well as for the safety and stability of the system
6 Generation of Gate Pulses for Single PhaseBridge Inverter Using FPGA
In grid connected mode as well as in stand-alone mode ofWECS space vector pulse width modulation scheme hasbeen used for inverter control Its performance is checked
Journal of Energy 9
04 045 05 055 06 065 07 075 08 085 09
0100200300400
Time (s)In
vert
er v
olta
ges (
V)
minus100
minus200
minus300
minus400
ViaVibVic
Figure 16 Three-phase voltages at PCC
03 04 05 06 07 08 09 1 110
02040608
112141618
2
Time (s)
Tran
sitio
n of
mod
es
Circuit breaker status (onoff)
Gridconnected mode of WECS
Stand-alone mode of WECS
X = 048Y = 0
Figure 17 Transition of modes
04 045 05 055 06 065 07 075 08 085 0905
10152025303540
Time (s)
Wavelet energyLower threshold
Lower threshold
Wav
elet e
nerg
y ph
ase A
(V2)
Figure 18 Threshold settings
using FPGA with Altium NB 3000 Xilinx Spartan 3ANprocessor Step-by-step procedure for generating invertergate pulse is shown in Figure 22 XILINX ISE design suite145 is used formodel based design for PWMpulse generationfor single phase bridge inverter and Altium designer softwareis used for FPGA project design Number of steps has beenperformed for bit file generation using Altium design soft-ware It generates the programming file that is required for
downloading the design to the physical device A detailedprocedure for project design using FPGA is given in [21]
Schematic diagram to test SVPWM control method forgenerating gate pulses using FPGA is shown in Figure 23
Sine waveform and triangular carrier waveform of fre-quency 500Hz are given as input by ADC-SPI port andinverter gate pulses are obtained by user IO port which isshown in Figures 24 and 25 respectively
10 Journal of Energy
03 04 05 06 07 08 09 1 11
0
325
500
Time (s)
Volta
ge at
PCC
pha
se A
(V)
minus325
minus500
Via
(a)
03 04 05 06 07 08 09 1 112021222324252627282930
Time (s)
Wav
elet e
nerg
y PC
C ph
ase A
(V2)
X = 045009Y = 242683
EVa at PCC
(b)
Figure 19 (a) Voltage signal and (b) wavelet energy plot at PCC for phase A
03 04 05 06 07 08 09 1 11
0
325
500
Time (s)
Volta
ge at
PCC
pha
se B
(V)
minus325
minus500
Vib
(a)
03 04 05 06 07 08 09 1 1110
15
20
25
30
35
40
Time (s)
Wav
elet e
nerg
y PC
C ph
ase B
(V2)
EVa at PCC
(b)
Figure 20 (a) Voltage signal and (b) wavelet energy plot at PCC for phase B
03 04 05 06 07 08 09 1 11
0
325
500
Time (s)
Volta
ge at
PCC
pha
se C
(V)
minus325
minus500
Vic
(a)
03 04 05 06 07 08 09 1 1110
20
30
Time (s)
Wav
elet e
nerg
y PC
C ph
ase C
(V2)
EVc at PCC
(b)
Figure 21 (a) Voltage signal and (b) wavelet energy plot at PCC for phase C
7 Conclusions
The proposed method has been implemented for a 10 kWwind energy conversion system with rectifier-inverter inter-face which can work in grid connected mode as well as instand-alone mode The benefit of the used control schemeis that switching between the two operating modes happens
automatically on the basis of output of energy function Themost important feature of the system is its adaptability towork in both of the operatingmodes properly PLL is used forsynchronization in grid connected mode Simulation resultsdemonstrate the working and transition between the modesof WECS in only 3ms time and no transients appear duringtransition of modes
Journal of Energy 11
Bit file downloaded to FPGA board
Xilinx model based design using system generator
Netlist generation (VHDL file)
Altium designer software(VHDL file as a source file)
FPGA project design(open bus system design for SPI-ADC and
generated VHDL file as source file)
Compilation synthesis translate mappingplace and route time analysis and bit file generation
Figure 22 Step-by-step procedure for inverter gate pulse generationusing FPGA
IGBT module
Sine wave Triangular carrier
FPGA
S1 S2 S3 S4
LoadVDC
Figure 23 Schematic diagram for hardware setup
Figure 24 Load voltage and load current through RL load
Figure 25 Inverter output voltage and output gate pulses for singlephase bridge inverter
The tests concluded that detectionmethod has the follow-ing properties
(i) Detect grid disturbances event in just 3ms(ii) Accurate detection and quick transition maintain the
power quality and supply uninterrupted power tocritical load in case of grid outage
(iii) It is suitable for detection of steady state and transientstate disturbances both
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
References
[1] R Teodorescu F Iov and F Blaabjerg ldquoFlexible developmentand test system for 11kW wind turbinerdquo in Proceedings of theIEEE 34th Annual Power Electronics Specialists Conference pp67ndash72 June 2003
[2] N A Orlando M Liserre R A Mastromauro and ADellrsquoAquila ldquoA survey of control issues in pmsg-based smallwind-turbine systemsrdquo IEEE Transactions on Industrial Infor-matics vol 9 no 3 pp 1211ndash1221 2013
[3] R Teodorescu and F Blaabjerg ldquoFlexible control of small windturbines with grid failure detection operating in stand-aloneand grid-connected moderdquo IEEE Transactions on Power Elec-tronics vol 19 no 5 pp 1323ndash1332 2004
[4] B Singh andG K Kasal ldquoSolid state voltage and frequency con-troller for a stand alone wind power generating systemrdquo IEEETransactions on Power Electronics vol 23 no 3 pp 1170ndash11772008
[5] A Milczarek and M Malinowski ldquoMonitoring and controlalgorithms applied to small wind turbine with grid-connectedstand-alonemode of operationrdquoPrzeglad Elektrotechniczny vol88 pp 18ndash22 2012
[6] S I Jang and K H Kim ldquoAn islanding detection methodfor distributed generations using voltage unbalance and totalharmonic distortion of currentrdquo IEEE Transactions on PowerDelivery vol 19 no 2 pp 745ndash752 2004
[7] S I Jang and K H Kim ldquoA new islanding detection algorithmfor distributed generations interconnected with utility net-worksrdquo in Proceedings of the 8th IEE International Conference
12 Journal of Energy
on Developments in Power System Protection vol 2 pp 571ndash574IET April 2004
[8] S-I Jang and K-H Kim ldquoDevelopment of a logical rule-based islanding detection method for distributed resourcesrdquoin Proceedings of the IEEE Power Engineering Society WinterMeeting vol 2 pp 800ndash806 January 2002
[9] J W Resende M L R Chaves and C Penna ldquoIdentificationof power quality disturbances using the MATLAB wavelettransform toolboxrdquo in Proceedings of the 4th InternationalConference on Power Systems Transients (IPST rsquo01) Rio deJaneiro Brazil June 2001
[10] C Kocaman and M Ozdemir ldquoComparison of statisticalmethods and wavelet energy coefficients for determining twocommon PQ disturbances sag and wellrdquo in Proceedings of the6th International Conference on Electrical and Electronics Engi-neering (ELECO rsquo09) pp I80ndashI84 November 2009
[11] P K Ray N Kishor and S R Mohanty ldquoIslanding and powerquality disturbance detection in grid-connected hybrid powersystem using wavelet and S-transformrdquo IEEE Transactions onSmart Grid vol 3 no 3 pp 1082ndash1094 2012
[12] R Tirumala N Mohan and C Henze ldquoSeamless transfer ofgrid-connected PWM inverters between utility-interactive andstand-alone modesrdquo in Proceedings of the 17th Annual IEEEApplied Power Electronics Conference and Expositions (APECrsquo02) pp 1081ndash1086 March 2002
[13] A Timbus M Liserre R Teodorescu P Rodriguez and FBlaabjerg ldquoEvaluation of current controllers for distributedpower generation systemsrdquo IEEE Transactions on Power Elec-tronics vol 24 no 3 pp 654ndash664 2009
[14] S W Mohod and V A Mohan ldquoPower quality issues and itrsquosmitigation technique in wind energy generationrdquo in Proceedingsof the 13th International Conference on Harmonics and Qualityof Power (ICHQP rsquo08) Wollongong Australia October 2008
[15] C N Bhende S Mishra and S G Malla ldquoPermanent magnetsynchronous generator-based standalone wind energy supplysystemrdquo IEEE Transactions on Sustainable Energy vol 2 no 4pp 361ndash373 2011
[16] J M Carrasco L G Franquelo J T Bialasiewicz et al ldquoPower-electronic systems for the grid integration of renewable energysources a surveyrdquo IEEE Transactions on Industrial Electronicsvol 53 no 4 pp 1002ndash1016 2006
[17] C L Anooja andN Leena ldquoSingle phase shunt active filter withfuzzy controller for harmonic mitigationrdquo International Journalof Scientific amp Engineering Research vol 4 no 9 pp 445ndash4512013
[18] L G B Rolim D R Da Costa Jr and M Aredes ldquoAnalysisand software implementation of a robust synchronizing PLLcircuit based on the pq theoryrdquo IEEE Transactions on IndustrialElectronics vol 53 no 6 pp 1919ndash1926 2006
[19] B Jain T Jain S Jain and R K Nema ldquoPower quality improve-ment of an isolated wind power generation systemrdquo IOSRJournal of Electrical and Electronics Engineering vol 9 no 3 pp33ndash50 2014
[20] K Zhou and D Wang ldquoRelationship between space-vectormodulation and three-phase carrier-based PWM a compre-hensive analysisrdquo IEEE Transactions on Industrial Electronicsvol 49 no 1 pp 186ndash196 2002
[21] X Computation ldquoGetting started with the Xilinx Virtex-6FPGAMI-605 evaluation Kitrdquo 2010
TribologyAdvances in
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
AerospaceEngineeringHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
FuelsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal ofPetroleum Engineering
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Industrial EngineeringJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Power ElectronicsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Advances in
CombustionJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Renewable Energy
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
StructuresJournal of
International Journal of
RotatingMachinery
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
EnergyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporation httpwwwhindawicom
Journal ofEngineeringVolume 2014
Hindawi Publishing Corporation httpwwwhindawicom Volume 2014
International Journal ofPhotoenergy
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Nuclear InstallationsScience and Technology of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Solar EnergyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Wind EnergyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Nuclear EnergyInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
High Energy PhysicsAdvances in
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
4 Journal of Energy
PI controller
PLL controller
120596ff
Vlowastd = 0
Vq
Vd
1
s
+ ++minus
120596998400 120579998400
120579998400V120572 = 15Vmcos(120596t)V120573 = 15Vmsin(120596t)
abc minus 120572120573 120572120573 minus dqVbVa
Vc
Figure 5 Block diagram of phase locked loop based on synchronous reference frame
control active powerThe 119902-axis reference can be set to zero toget unity power factor By using PI controllers for controllingthe errors in 119889-axis and 119902-axis currents the control voltagesare generated for the 3-0 voltage source inverter in119875119876 controlmethod as shown in Figure 4 and are given by
119881lowast
119889= 119881119889+ 120596119871119905119894119902minus 119890119889
119881lowast
119902= 119881119902minus 120596119871119905119894119889minus 119890119902
(1)
where 119871119905is the total inductance on the grid side inverter and
119890119889and 119890119902are 119889-119902 components of grid side voltage vector
Tuning of PI controllers must be done accurately toobtain better control of DC-link voltage active power andreactive power The feedforward and cross coupling termsused in generation of reference voltage vector in synchronousreference frame help out in system linearization and makecontroller design easier The reference voltages 119881lowast
119889and 119881lowast
119902
are further transformed into and used to generate invertergate pulses through a SVPWM algorithm LCL filter is usedto improve the power quality at the inverter output
4 Grid Status Monitoring andTransition of Modes
41 Phase Locked Loop The utility grid status monitoringmust be done continuously in real time to ensure goodquality power supply to loads The grid status includes sens-ing fault overvoltage and undervoltage conditions Outagedetection is carried out in every sampling cycle by comparingthe instantaneous grid voltage The block diagram of thethree-phase PLL used for synchronization in the grid con-nected mode is as shown in Figure 5 A resonant filter can beadded tomake standardPLLmore robust in case of unbalanceand voltage harmonics
In case of grid failure islanded cannot be avoided Hencesuitable method must be used to detect grid failure For con-nected to grid again when grid returns to its normal condi-tion use of a synchronization algorithm is necessary prior totransition of mode from stand-alone to grid connected Theflowchart shown in Figure 6 is proposed for islanding detec-tion and further for transition from grid connected modeof WECS to stand-alone mode In case of grid disturbances
Grid disturbances detected
No
Yes
Remove previous window dataCaptured discretized signal in
memory
Perform DWT of each frame
Start
Selecting window length to form frame Set the value of threshold
coefficients
Perform mode transition fromgridconnected to stand-alone
Is energy lt threshold 1andenergy gt threshold 2
Calculation of wavelet energy of d6
Figure 6 Flowchart for detection of grid faultsislanding
mode change of WECS from grid connected to stand-aloneis performed in the following steps
(1) Identify grid condition using power quality monitor-ing
(2) Generate a signal to turn off circuit breaker in case ofgrid fault
Journal of Energy 5
Grid returns to normal condition
No
Yes
Remove previous window dataCaptured discretized signal in
memory
Perform DWT of each frame
coefficients
Start
Perform mode transition from
Selecting window length to form frame
Set the values of threshold
stand-alone to gridconnected
Is energy gt threshold 1andenergy lt threshold 2
Calculation of wavelet energy of d6
Figure 7 Flowchart for returning to grid normal operation
(3) Mode transition can be done as soon as the circuitbreaker turns off Change the grid connected modeof WECS to stand-alone mode
(4) In case of stand-alone mode the control strategy willbe voltage controlled In voltage controlled mode ofload side inverter the reference value used for voltagewill be last value of grid voltage whenmode transitiontakes place
The flowchart shown in Figure 7 is proposed for detection ofgrid recovery and transition from stand-alone mode to gridconnected mode of WECS
42 Discrete Wavelet Transform Discrete wavelet transform(DWT) converts a time domain discretized signal into its cor-responding wavelet domain Principally the discrete wavelettransformation has two-phase determination of wavelet coef-ficients and calculation of detailed and approximated versionof the original signal in different scales of resolutions inthe time domain In filtering process the original signalis passed through two complementary filters and producesapproximate and detail coefficients To extend the frequencyresolution decomposition of signal is done repeatedly andsignal can be realized into two lower frequency ranges Thisprocess is known as multiresolution analysis (MRA) and goalof MRA is to represent a complex signal by several simplesignals to study them separately
43 Frame Length Coefficients of wavelet transform repre-sent the energy of the signalThese coefficients will be used tomeasure themagnitude of the disturbance in distorted signalIn real time application wavelet transform can be used as amonitoring tool when it becomes essential to detect distur-bances in minimum time For such cases distorted signal isprocessed through timewindowof fixed length frame Lengthof the frame means the number of sample points of discretedata signal for which wavelet energy has to be calculatedThe time window move forward along the signal and waveletenergy is calculated for each frame Frame length decides theresponse time of the method If length of the frame is longit will take more time in calculation and response time willget delayed Sampling frequency size of buffer and level ofdecomposition are three main factors which must be wiselyselected according to application A fixed frame length ofsample points 128 is used in this paper to obtain fast responsetime The sampling frequency selection has been doneaccording to Parsevalrsquos theorem and decomposition has beendone into 6th level
44Wavelet Energy Thediscrete wavelet divides a signal intoapproximated and detailed version of the original signal indifferent scales of resolutions in the time domain using low-pass and high-pass filters Decomposition of approximateversion can be repeated to obtain signal in required frequencysubbandswith number of approximate and detail coefficientsSum of coefficients square at a particular level represent theenergy of the signal at that level These coefficients will beused to compute the level of the disturbance in distortedsignal Wavelet energy measure based on wavelet analysis isable to observe the unsteady signal and complexity of thesystem at time-frequency planeThemother wavelet functionselected is db and scale factor 2 that is according to literaturereviews The signal is decomposed into 6th level Hence cD6coefficients will represent the fundamental frequency com-ponent of the signal and coefficients energy will be calculatedby using
119864119895=
119873
sum
119896=1
10038161003816100381610038161003816119863119895119896
10038161003816100381610038161003816
2
119895 = 1 2 119897 (2)
where 119863119895119896is the value of wavelet detail coefficients obtained
in decomposition from level 1 to level 119869119873 is the total numberof the coefficients at each decomposition level and 119864
119895is the
energy of the detail coefficients at decomposition level 119895
45 Deciding Threshold The most important part of moni-toring algorithm is deciding the setting for threshold levelThe value should be selected to change mode of WECSwhenever voltage of any phase crosses the standard limitssuch as voltage dip of less than 08 pu or voltage swell ofmagnitude more than 12 pu Simultaneously it should notcause unnecessary false tripping of circuit breaker in case ofsmall voltage dip or swell It is the value of wavelet energycalculated for output voltage signal (grid voltage) under nor-mal grid condition plus a variation allowed as per standardsFor calculating the threshold a reference signal of same frame
6 Journal of Energy
Voltage source converters
Voltage source converters
PMSGWind turbine
LCL filter
Voltagesensor
SVPWMSynchronous
reference framecontroller
Pulse isolationand amplifier
Critical loadCurrent
sensor
TransformerGrid
Circuit breaker
Voltagesensor
DWT controller
Voltagesensor
minus
+
S1
S2
S3
S4
S5
S6
O
AB
C
C
CDC
L1 L2
ig1 ig2ig3ig4 ig5ig6
Vlowastabc
VabcIabc
Figure 8 Schematic diagram of WECS connected to grid
Table 1 Parameters selection for proposed method
Parameter Peak voltage level (119881) Wavelet energy (1198812) Normalized wavelet energyPeak voltage of grid 325 23 lowast 119890610
5 23Permissible limit of voltage swell 390 40 lowast 119890610
5 40Permissible limit of voltage sag 260 11 lowast 119890610
5 11
length decomposed in 6th level using same mother waveletfunction db2 and coefficients energy of cD6 is calculatedPermissible variation in reference signal is considered andthe entire procedure is repeated to calculate lower and upperthreshold settings Table 1 is listing the wavelet energy fordifferent cases which helps in deciding lower and upperthreshold settings
5 Schematic Diagram of SystemResults and Discussions
A schematic diagram of grid connected WECS consists of3-0 PMSG full-bridge rectifier DC-link capacitor a 3-0IGBT based full-bridge inverter critical load LCL filtertransformer and circuit breaker and 400 volt 50Hz ac sourceis shown Figure 8 The system parameters used in simulationare given in Table 2 Simulation model of the system isdeveloped inMATLABsimulink environment All the valuesgiven in Table 2 have been calculated during mathematicalmodelling of WECS and grid connected WECS
51 Before Fault Figure 9 shows the output voltages undernormal grid condition It shows that the implemented controlmethod of voltage source inverter is maintaining the outputin desired form Figure 10 shows load voltage and loadcurrent under normal grid condition
52 During Fault It can be seen from Figure 11 that in caseof fault in phase B grid voltages of phase A and phase C have
Table 2 Design parameters for simulation
Description Symbolicrepresentation Value
Capacitor 119862dc 2200 120583FDC-link voltage 119881DC 650 voltsAC output voltage 119881
119904230 volts rms
AC output frequency 119891 50HzInverter side filter inductor 119871
102mH
Grid side filter inductor 1198712
01mHFilter capacitor 119862
110120583F
Inverter switching frequency 119891119904
3 kHz
been inceased Grid fault occurs at 119905 = 045 sec and continuestill 119905 = 07 sec Monitoring algorithm is constantly moni-toring the grid condition Such cases must be detected andreported to utility intactive inverter at the earliest so that sup-ply to critical load will be continued by intentional islandingof WECS The load is supplied fromWECS and grid currentis zero in case of grid fault Source current and load currents(local and shared load both) which are now supplied fromWECS in case of grid not present can be seen from Figure 12
Grid fault causes voltage variations in all the three phasesVoltage waveform of all the three phases and correspondingcoefficients energy plots are displayed in Figures 13 14 and 15respectively in red green (istead of yellow for improvedvisibility) and blue color for phase A phase B and phase CWavelet energy is normalized as calculated value has very
Journal of Energy 7
05 055 06 065 07 075 08
0100200300400
Time (s)
Grid
vol
tage
s (V
)
minus100
minus200
minus300
minus400
VaVbVc
Figure 9 Three-phase grid voltages before fault
05 06 07 08 09 1
0
325400
Time (s)
Load voltageLoad current
Load
vol
tage
(V)
Load
curr
ent (
amps
)
minus200
minus325minus400
Figure 10 Output waveform of load voltage and load current beforefault
large value and even a large change in coeficients energy can-not be clearly observed from actual plots of wavelet energyGrid voltages and corresponding coefficients energy plot aregraphical representation of change in wavelet coefficientsenergy in case of grid disturbances Threshold level withcalculated threshold further helps in transition of modesfrom grid connected to stand-alone and vice versa
At 119905 = 045 sec grid fault occurs wavelet based monitor-ing algorithm detects it at 048 sec and changes the mode ofWECS from grid connected to stand-alone Many distribu-tion systems use autoreclosing to clear temporary faults andhence it is essential to detect grid faults before the autore-closer operates to avoid out phase reclosing Grid fault causesvoltage variations in all the three phases which can beobserved clearly in Figure 16
Transition of mode from grid connected to stand-aloneoccured at 048 sec which is the total time taken by the pro-posed method in detection of grid disturbance and furtherisolate the WECS by operting circuit breaker which discon-nects it from grid When mode trasition occurs controllerof VSI changes its mode and continues to feed power to theload connected to it The grid monitoring algorithm detectsfault and changes mode of operation from grid connected
04 045 05 055 06 065 07 075 08 085 09
325
0
325
500
Time (s)
Grid
vol
tage
s (V
)
minus500
VaVbVc
Figure 11 Three-phase grid voltages during disturbance
04 045 05 055 06 065 07 075 08 085 09
0
10
20
30
Time (s)
Source currentLocal load currentShared load current
Sour
ce cu
rren
t (am
ps)
minus10
minus20
minus30
Figure 12 Source current local load current and shared load cur-rent
mode to stand-alone mode at 048 sec when circuit breakersopensThe timings of mode change and circuit breaker status(1 means WECS grid connected 0 means disconnected fromgrid) can be seen from Figure 17 Figure 18 displays the lowerthreshold value due to which transition occurs
Grid voltage of all the phases and corresponding coef-ficients energy plots are shown in Figures 19 20 and 21respectively of phase A phase B and phase C Grid voltagesand corresponding coefficients energy plot are graphical rep-resentation of wavelet coefficients energy A small change involtages at load terminal (PCC) can be observed in the signaland associated wavelet energy plot in Figures 19 20 and 21that is due to change of load because of mode transitionWECS is now fed power to critical load and local loads con-nected to it Monitoring is still continued at PCC to check forgrid condition On the basis of threshold value of waveletenergy transition occurs from stand-alone mode to gridconnected mode which can be observed from Figures 19(a)and 19(b) at time 07 sec when fault is cleared
The power conditioning module for both the modesis based space vector pulse width modulation Instead ofconventional SVM triangular carrier based SVM is used to
8 Journal of Energy
03 04 05 06 07 08 09 1 11
0
325
500
Time (s)
Grid
vol
tage
pha
se A
(V)
minus325
minus500
Vga
(a)
03 04 05 06 07 08 09 1 110
102030405060708090
100
Time (s)
Wav
elet e
nerg
y ph
ase A
(V2)
EVa
(b)
Figure 13 (a) Voltage signal and (b) corresponding wavelet energy plot of phase A
03 04 05 06 07 08 09 1 11500
0
325
500
Time (s)
Grid
vol
tage
pha
se B
(V)
minus325
Vgb
(a)
03 04 05 06 07 08 09 1 110
5
10
15
20
25
Time (s)
Wav
elet e
nerg
y ph
ase B
(V2)
EVb
(b)
Figure 14 (a) Voltage signal and (b) corresponding wavelet energy plot for fault in phase B
03 04 05 06 07 08 09 1 11
325
0
325
500
Time (s)
Grid
vol
tage
pha
se C
(V)
minus500
Vgc
(a)
03 04 05 06 07 08 09 1 1110
15
20
25
30
35
40
Time (s)
Wav
elet e
nerg
y ph
ase C
(V2)
EVc
(b)
Figure 15 (a) Voltage signal and (b) corresponding wavelet energy plot of phase C
reduce computation burden as sector determination is notrequired in implementation The benefits of using DWT andwavelet energy based algorithm are accurate detection of startand end time of occurrence of any event or varaitions Accu-rate and quick detection can also be helpful for protection ofequipments as well as for the safety and stability of the system
6 Generation of Gate Pulses for Single PhaseBridge Inverter Using FPGA
In grid connected mode as well as in stand-alone mode ofWECS space vector pulse width modulation scheme hasbeen used for inverter control Its performance is checked
Journal of Energy 9
04 045 05 055 06 065 07 075 08 085 09
0100200300400
Time (s)In
vert
er v
olta
ges (
V)
minus100
minus200
minus300
minus400
ViaVibVic
Figure 16 Three-phase voltages at PCC
03 04 05 06 07 08 09 1 110
02040608
112141618
2
Time (s)
Tran
sitio
n of
mod
es
Circuit breaker status (onoff)
Gridconnected mode of WECS
Stand-alone mode of WECS
X = 048Y = 0
Figure 17 Transition of modes
04 045 05 055 06 065 07 075 08 085 0905
10152025303540
Time (s)
Wavelet energyLower threshold
Lower threshold
Wav
elet e
nerg
y ph
ase A
(V2)
Figure 18 Threshold settings
using FPGA with Altium NB 3000 Xilinx Spartan 3ANprocessor Step-by-step procedure for generating invertergate pulse is shown in Figure 22 XILINX ISE design suite145 is used formodel based design for PWMpulse generationfor single phase bridge inverter and Altium designer softwareis used for FPGA project design Number of steps has beenperformed for bit file generation using Altium design soft-ware It generates the programming file that is required for
downloading the design to the physical device A detailedprocedure for project design using FPGA is given in [21]
Schematic diagram to test SVPWM control method forgenerating gate pulses using FPGA is shown in Figure 23
Sine waveform and triangular carrier waveform of fre-quency 500Hz are given as input by ADC-SPI port andinverter gate pulses are obtained by user IO port which isshown in Figures 24 and 25 respectively
10 Journal of Energy
03 04 05 06 07 08 09 1 11
0
325
500
Time (s)
Volta
ge at
PCC
pha
se A
(V)
minus325
minus500
Via
(a)
03 04 05 06 07 08 09 1 112021222324252627282930
Time (s)
Wav
elet e
nerg
y PC
C ph
ase A
(V2)
X = 045009Y = 242683
EVa at PCC
(b)
Figure 19 (a) Voltage signal and (b) wavelet energy plot at PCC for phase A
03 04 05 06 07 08 09 1 11
0
325
500
Time (s)
Volta
ge at
PCC
pha
se B
(V)
minus325
minus500
Vib
(a)
03 04 05 06 07 08 09 1 1110
15
20
25
30
35
40
Time (s)
Wav
elet e
nerg
y PC
C ph
ase B
(V2)
EVa at PCC
(b)
Figure 20 (a) Voltage signal and (b) wavelet energy plot at PCC for phase B
03 04 05 06 07 08 09 1 11
0
325
500
Time (s)
Volta
ge at
PCC
pha
se C
(V)
minus325
minus500
Vic
(a)
03 04 05 06 07 08 09 1 1110
20
30
Time (s)
Wav
elet e
nerg
y PC
C ph
ase C
(V2)
EVc at PCC
(b)
Figure 21 (a) Voltage signal and (b) wavelet energy plot at PCC for phase C
7 Conclusions
The proposed method has been implemented for a 10 kWwind energy conversion system with rectifier-inverter inter-face which can work in grid connected mode as well as instand-alone mode The benefit of the used control schemeis that switching between the two operating modes happens
automatically on the basis of output of energy function Themost important feature of the system is its adaptability towork in both of the operatingmodes properly PLL is used forsynchronization in grid connected mode Simulation resultsdemonstrate the working and transition between the modesof WECS in only 3ms time and no transients appear duringtransition of modes
Journal of Energy 11
Bit file downloaded to FPGA board
Xilinx model based design using system generator
Netlist generation (VHDL file)
Altium designer software(VHDL file as a source file)
FPGA project design(open bus system design for SPI-ADC and
generated VHDL file as source file)
Compilation synthesis translate mappingplace and route time analysis and bit file generation
Figure 22 Step-by-step procedure for inverter gate pulse generationusing FPGA
IGBT module
Sine wave Triangular carrier
FPGA
S1 S2 S3 S4
LoadVDC
Figure 23 Schematic diagram for hardware setup
Figure 24 Load voltage and load current through RL load
Figure 25 Inverter output voltage and output gate pulses for singlephase bridge inverter
The tests concluded that detectionmethod has the follow-ing properties
(i) Detect grid disturbances event in just 3ms(ii) Accurate detection and quick transition maintain the
power quality and supply uninterrupted power tocritical load in case of grid outage
(iii) It is suitable for detection of steady state and transientstate disturbances both
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
References
[1] R Teodorescu F Iov and F Blaabjerg ldquoFlexible developmentand test system for 11kW wind turbinerdquo in Proceedings of theIEEE 34th Annual Power Electronics Specialists Conference pp67ndash72 June 2003
[2] N A Orlando M Liserre R A Mastromauro and ADellrsquoAquila ldquoA survey of control issues in pmsg-based smallwind-turbine systemsrdquo IEEE Transactions on Industrial Infor-matics vol 9 no 3 pp 1211ndash1221 2013
[3] R Teodorescu and F Blaabjerg ldquoFlexible control of small windturbines with grid failure detection operating in stand-aloneand grid-connected moderdquo IEEE Transactions on Power Elec-tronics vol 19 no 5 pp 1323ndash1332 2004
[4] B Singh andG K Kasal ldquoSolid state voltage and frequency con-troller for a stand alone wind power generating systemrdquo IEEETransactions on Power Electronics vol 23 no 3 pp 1170ndash11772008
[5] A Milczarek and M Malinowski ldquoMonitoring and controlalgorithms applied to small wind turbine with grid-connectedstand-alonemode of operationrdquoPrzeglad Elektrotechniczny vol88 pp 18ndash22 2012
[6] S I Jang and K H Kim ldquoAn islanding detection methodfor distributed generations using voltage unbalance and totalharmonic distortion of currentrdquo IEEE Transactions on PowerDelivery vol 19 no 2 pp 745ndash752 2004
[7] S I Jang and K H Kim ldquoA new islanding detection algorithmfor distributed generations interconnected with utility net-worksrdquo in Proceedings of the 8th IEE International Conference
12 Journal of Energy
on Developments in Power System Protection vol 2 pp 571ndash574IET April 2004
[8] S-I Jang and K-H Kim ldquoDevelopment of a logical rule-based islanding detection method for distributed resourcesrdquoin Proceedings of the IEEE Power Engineering Society WinterMeeting vol 2 pp 800ndash806 January 2002
[9] J W Resende M L R Chaves and C Penna ldquoIdentificationof power quality disturbances using the MATLAB wavelettransform toolboxrdquo in Proceedings of the 4th InternationalConference on Power Systems Transients (IPST rsquo01) Rio deJaneiro Brazil June 2001
[10] C Kocaman and M Ozdemir ldquoComparison of statisticalmethods and wavelet energy coefficients for determining twocommon PQ disturbances sag and wellrdquo in Proceedings of the6th International Conference on Electrical and Electronics Engi-neering (ELECO rsquo09) pp I80ndashI84 November 2009
[11] P K Ray N Kishor and S R Mohanty ldquoIslanding and powerquality disturbance detection in grid-connected hybrid powersystem using wavelet and S-transformrdquo IEEE Transactions onSmart Grid vol 3 no 3 pp 1082ndash1094 2012
[12] R Tirumala N Mohan and C Henze ldquoSeamless transfer ofgrid-connected PWM inverters between utility-interactive andstand-alone modesrdquo in Proceedings of the 17th Annual IEEEApplied Power Electronics Conference and Expositions (APECrsquo02) pp 1081ndash1086 March 2002
[13] A Timbus M Liserre R Teodorescu P Rodriguez and FBlaabjerg ldquoEvaluation of current controllers for distributedpower generation systemsrdquo IEEE Transactions on Power Elec-tronics vol 24 no 3 pp 654ndash664 2009
[14] S W Mohod and V A Mohan ldquoPower quality issues and itrsquosmitigation technique in wind energy generationrdquo in Proceedingsof the 13th International Conference on Harmonics and Qualityof Power (ICHQP rsquo08) Wollongong Australia October 2008
[15] C N Bhende S Mishra and S G Malla ldquoPermanent magnetsynchronous generator-based standalone wind energy supplysystemrdquo IEEE Transactions on Sustainable Energy vol 2 no 4pp 361ndash373 2011
[16] J M Carrasco L G Franquelo J T Bialasiewicz et al ldquoPower-electronic systems for the grid integration of renewable energysources a surveyrdquo IEEE Transactions on Industrial Electronicsvol 53 no 4 pp 1002ndash1016 2006
[17] C L Anooja andN Leena ldquoSingle phase shunt active filter withfuzzy controller for harmonic mitigationrdquo International Journalof Scientific amp Engineering Research vol 4 no 9 pp 445ndash4512013
[18] L G B Rolim D R Da Costa Jr and M Aredes ldquoAnalysisand software implementation of a robust synchronizing PLLcircuit based on the pq theoryrdquo IEEE Transactions on IndustrialElectronics vol 53 no 6 pp 1919ndash1926 2006
[19] B Jain T Jain S Jain and R K Nema ldquoPower quality improve-ment of an isolated wind power generation systemrdquo IOSRJournal of Electrical and Electronics Engineering vol 9 no 3 pp33ndash50 2014
[20] K Zhou and D Wang ldquoRelationship between space-vectormodulation and three-phase carrier-based PWM a compre-hensive analysisrdquo IEEE Transactions on Industrial Electronicsvol 49 no 1 pp 186ndash196 2002
[21] X Computation ldquoGetting started with the Xilinx Virtex-6FPGAMI-605 evaluation Kitrdquo 2010
TribologyAdvances in
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
AerospaceEngineeringHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
FuelsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal ofPetroleum Engineering
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Industrial EngineeringJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Power ElectronicsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Advances in
CombustionJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Renewable Energy
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
StructuresJournal of
International Journal of
RotatingMachinery
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
EnergyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporation httpwwwhindawicom
Journal ofEngineeringVolume 2014
Hindawi Publishing Corporation httpwwwhindawicom Volume 2014
International Journal ofPhotoenergy
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Nuclear InstallationsScience and Technology of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Solar EnergyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Wind EnergyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Nuclear EnergyInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
High Energy PhysicsAdvances in
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Journal of Energy 5
Grid returns to normal condition
No
Yes
Remove previous window dataCaptured discretized signal in
memory
Perform DWT of each frame
coefficients
Start
Perform mode transition from
Selecting window length to form frame
Set the values of threshold
stand-alone to gridconnected
Is energy gt threshold 1andenergy lt threshold 2
Calculation of wavelet energy of d6
Figure 7 Flowchart for returning to grid normal operation
(3) Mode transition can be done as soon as the circuitbreaker turns off Change the grid connected modeof WECS to stand-alone mode
(4) In case of stand-alone mode the control strategy willbe voltage controlled In voltage controlled mode ofload side inverter the reference value used for voltagewill be last value of grid voltage whenmode transitiontakes place
The flowchart shown in Figure 7 is proposed for detection ofgrid recovery and transition from stand-alone mode to gridconnected mode of WECS
42 Discrete Wavelet Transform Discrete wavelet transform(DWT) converts a time domain discretized signal into its cor-responding wavelet domain Principally the discrete wavelettransformation has two-phase determination of wavelet coef-ficients and calculation of detailed and approximated versionof the original signal in different scales of resolutions inthe time domain In filtering process the original signalis passed through two complementary filters and producesapproximate and detail coefficients To extend the frequencyresolution decomposition of signal is done repeatedly andsignal can be realized into two lower frequency ranges Thisprocess is known as multiresolution analysis (MRA) and goalof MRA is to represent a complex signal by several simplesignals to study them separately
43 Frame Length Coefficients of wavelet transform repre-sent the energy of the signalThese coefficients will be used tomeasure themagnitude of the disturbance in distorted signalIn real time application wavelet transform can be used as amonitoring tool when it becomes essential to detect distur-bances in minimum time For such cases distorted signal isprocessed through timewindowof fixed length frame Lengthof the frame means the number of sample points of discretedata signal for which wavelet energy has to be calculatedThe time window move forward along the signal and waveletenergy is calculated for each frame Frame length decides theresponse time of the method If length of the frame is longit will take more time in calculation and response time willget delayed Sampling frequency size of buffer and level ofdecomposition are three main factors which must be wiselyselected according to application A fixed frame length ofsample points 128 is used in this paper to obtain fast responsetime The sampling frequency selection has been doneaccording to Parsevalrsquos theorem and decomposition has beendone into 6th level
44Wavelet Energy Thediscrete wavelet divides a signal intoapproximated and detailed version of the original signal indifferent scales of resolutions in the time domain using low-pass and high-pass filters Decomposition of approximateversion can be repeated to obtain signal in required frequencysubbandswith number of approximate and detail coefficientsSum of coefficients square at a particular level represent theenergy of the signal at that level These coefficients will beused to compute the level of the disturbance in distortedsignal Wavelet energy measure based on wavelet analysis isable to observe the unsteady signal and complexity of thesystem at time-frequency planeThemother wavelet functionselected is db and scale factor 2 that is according to literaturereviews The signal is decomposed into 6th level Hence cD6coefficients will represent the fundamental frequency com-ponent of the signal and coefficients energy will be calculatedby using
119864119895=
119873
sum
119896=1
10038161003816100381610038161003816119863119895119896
10038161003816100381610038161003816
2
119895 = 1 2 119897 (2)
where 119863119895119896is the value of wavelet detail coefficients obtained
in decomposition from level 1 to level 119869119873 is the total numberof the coefficients at each decomposition level and 119864
119895is the
energy of the detail coefficients at decomposition level 119895
45 Deciding Threshold The most important part of moni-toring algorithm is deciding the setting for threshold levelThe value should be selected to change mode of WECSwhenever voltage of any phase crosses the standard limitssuch as voltage dip of less than 08 pu or voltage swell ofmagnitude more than 12 pu Simultaneously it should notcause unnecessary false tripping of circuit breaker in case ofsmall voltage dip or swell It is the value of wavelet energycalculated for output voltage signal (grid voltage) under nor-mal grid condition plus a variation allowed as per standardsFor calculating the threshold a reference signal of same frame
6 Journal of Energy
Voltage source converters
Voltage source converters
PMSGWind turbine
LCL filter
Voltagesensor
SVPWMSynchronous
reference framecontroller
Pulse isolationand amplifier
Critical loadCurrent
sensor
TransformerGrid
Circuit breaker
Voltagesensor
DWT controller
Voltagesensor
minus
+
S1
S2
S3
S4
S5
S6
O
AB
C
C
CDC
L1 L2
ig1 ig2ig3ig4 ig5ig6
Vlowastabc
VabcIabc
Figure 8 Schematic diagram of WECS connected to grid
Table 1 Parameters selection for proposed method
Parameter Peak voltage level (119881) Wavelet energy (1198812) Normalized wavelet energyPeak voltage of grid 325 23 lowast 119890610
5 23Permissible limit of voltage swell 390 40 lowast 119890610
5 40Permissible limit of voltage sag 260 11 lowast 119890610
5 11
length decomposed in 6th level using same mother waveletfunction db2 and coefficients energy of cD6 is calculatedPermissible variation in reference signal is considered andthe entire procedure is repeated to calculate lower and upperthreshold settings Table 1 is listing the wavelet energy fordifferent cases which helps in deciding lower and upperthreshold settings
5 Schematic Diagram of SystemResults and Discussions
A schematic diagram of grid connected WECS consists of3-0 PMSG full-bridge rectifier DC-link capacitor a 3-0IGBT based full-bridge inverter critical load LCL filtertransformer and circuit breaker and 400 volt 50Hz ac sourceis shown Figure 8 The system parameters used in simulationare given in Table 2 Simulation model of the system isdeveloped inMATLABsimulink environment All the valuesgiven in Table 2 have been calculated during mathematicalmodelling of WECS and grid connected WECS
51 Before Fault Figure 9 shows the output voltages undernormal grid condition It shows that the implemented controlmethod of voltage source inverter is maintaining the outputin desired form Figure 10 shows load voltage and loadcurrent under normal grid condition
52 During Fault It can be seen from Figure 11 that in caseof fault in phase B grid voltages of phase A and phase C have
Table 2 Design parameters for simulation
Description Symbolicrepresentation Value
Capacitor 119862dc 2200 120583FDC-link voltage 119881DC 650 voltsAC output voltage 119881
119904230 volts rms
AC output frequency 119891 50HzInverter side filter inductor 119871
102mH
Grid side filter inductor 1198712
01mHFilter capacitor 119862
110120583F
Inverter switching frequency 119891119904
3 kHz
been inceased Grid fault occurs at 119905 = 045 sec and continuestill 119905 = 07 sec Monitoring algorithm is constantly moni-toring the grid condition Such cases must be detected andreported to utility intactive inverter at the earliest so that sup-ply to critical load will be continued by intentional islandingof WECS The load is supplied fromWECS and grid currentis zero in case of grid fault Source current and load currents(local and shared load both) which are now supplied fromWECS in case of grid not present can be seen from Figure 12
Grid fault causes voltage variations in all the three phasesVoltage waveform of all the three phases and correspondingcoefficients energy plots are displayed in Figures 13 14 and 15respectively in red green (istead of yellow for improvedvisibility) and blue color for phase A phase B and phase CWavelet energy is normalized as calculated value has very
Journal of Energy 7
05 055 06 065 07 075 08
0100200300400
Time (s)
Grid
vol
tage
s (V
)
minus100
minus200
minus300
minus400
VaVbVc
Figure 9 Three-phase grid voltages before fault
05 06 07 08 09 1
0
325400
Time (s)
Load voltageLoad current
Load
vol
tage
(V)
Load
curr
ent (
amps
)
minus200
minus325minus400
Figure 10 Output waveform of load voltage and load current beforefault
large value and even a large change in coeficients energy can-not be clearly observed from actual plots of wavelet energyGrid voltages and corresponding coefficients energy plot aregraphical representation of change in wavelet coefficientsenergy in case of grid disturbances Threshold level withcalculated threshold further helps in transition of modesfrom grid connected to stand-alone and vice versa
At 119905 = 045 sec grid fault occurs wavelet based monitor-ing algorithm detects it at 048 sec and changes the mode ofWECS from grid connected to stand-alone Many distribu-tion systems use autoreclosing to clear temporary faults andhence it is essential to detect grid faults before the autore-closer operates to avoid out phase reclosing Grid fault causesvoltage variations in all the three phases which can beobserved clearly in Figure 16
Transition of mode from grid connected to stand-aloneoccured at 048 sec which is the total time taken by the pro-posed method in detection of grid disturbance and furtherisolate the WECS by operting circuit breaker which discon-nects it from grid When mode trasition occurs controllerof VSI changes its mode and continues to feed power to theload connected to it The grid monitoring algorithm detectsfault and changes mode of operation from grid connected
04 045 05 055 06 065 07 075 08 085 09
325
0
325
500
Time (s)
Grid
vol
tage
s (V
)
minus500
VaVbVc
Figure 11 Three-phase grid voltages during disturbance
04 045 05 055 06 065 07 075 08 085 09
0
10
20
30
Time (s)
Source currentLocal load currentShared load current
Sour
ce cu
rren
t (am
ps)
minus10
minus20
minus30
Figure 12 Source current local load current and shared load cur-rent
mode to stand-alone mode at 048 sec when circuit breakersopensThe timings of mode change and circuit breaker status(1 means WECS grid connected 0 means disconnected fromgrid) can be seen from Figure 17 Figure 18 displays the lowerthreshold value due to which transition occurs
Grid voltage of all the phases and corresponding coef-ficients energy plots are shown in Figures 19 20 and 21respectively of phase A phase B and phase C Grid voltagesand corresponding coefficients energy plot are graphical rep-resentation of wavelet coefficients energy A small change involtages at load terminal (PCC) can be observed in the signaland associated wavelet energy plot in Figures 19 20 and 21that is due to change of load because of mode transitionWECS is now fed power to critical load and local loads con-nected to it Monitoring is still continued at PCC to check forgrid condition On the basis of threshold value of waveletenergy transition occurs from stand-alone mode to gridconnected mode which can be observed from Figures 19(a)and 19(b) at time 07 sec when fault is cleared
The power conditioning module for both the modesis based space vector pulse width modulation Instead ofconventional SVM triangular carrier based SVM is used to
8 Journal of Energy
03 04 05 06 07 08 09 1 11
0
325
500
Time (s)
Grid
vol
tage
pha
se A
(V)
minus325
minus500
Vga
(a)
03 04 05 06 07 08 09 1 110
102030405060708090
100
Time (s)
Wav
elet e
nerg
y ph
ase A
(V2)
EVa
(b)
Figure 13 (a) Voltage signal and (b) corresponding wavelet energy plot of phase A
03 04 05 06 07 08 09 1 11500
0
325
500
Time (s)
Grid
vol
tage
pha
se B
(V)
minus325
Vgb
(a)
03 04 05 06 07 08 09 1 110
5
10
15
20
25
Time (s)
Wav
elet e
nerg
y ph
ase B
(V2)
EVb
(b)
Figure 14 (a) Voltage signal and (b) corresponding wavelet energy plot for fault in phase B
03 04 05 06 07 08 09 1 11
325
0
325
500
Time (s)
Grid
vol
tage
pha
se C
(V)
minus500
Vgc
(a)
03 04 05 06 07 08 09 1 1110
15
20
25
30
35
40
Time (s)
Wav
elet e
nerg
y ph
ase C
(V2)
EVc
(b)
Figure 15 (a) Voltage signal and (b) corresponding wavelet energy plot of phase C
reduce computation burden as sector determination is notrequired in implementation The benefits of using DWT andwavelet energy based algorithm are accurate detection of startand end time of occurrence of any event or varaitions Accu-rate and quick detection can also be helpful for protection ofequipments as well as for the safety and stability of the system
6 Generation of Gate Pulses for Single PhaseBridge Inverter Using FPGA
In grid connected mode as well as in stand-alone mode ofWECS space vector pulse width modulation scheme hasbeen used for inverter control Its performance is checked
Journal of Energy 9
04 045 05 055 06 065 07 075 08 085 09
0100200300400
Time (s)In
vert
er v
olta
ges (
V)
minus100
minus200
minus300
minus400
ViaVibVic
Figure 16 Three-phase voltages at PCC
03 04 05 06 07 08 09 1 110
02040608
112141618
2
Time (s)
Tran
sitio
n of
mod
es
Circuit breaker status (onoff)
Gridconnected mode of WECS
Stand-alone mode of WECS
X = 048Y = 0
Figure 17 Transition of modes
04 045 05 055 06 065 07 075 08 085 0905
10152025303540
Time (s)
Wavelet energyLower threshold
Lower threshold
Wav
elet e
nerg
y ph
ase A
(V2)
Figure 18 Threshold settings
using FPGA with Altium NB 3000 Xilinx Spartan 3ANprocessor Step-by-step procedure for generating invertergate pulse is shown in Figure 22 XILINX ISE design suite145 is used formodel based design for PWMpulse generationfor single phase bridge inverter and Altium designer softwareis used for FPGA project design Number of steps has beenperformed for bit file generation using Altium design soft-ware It generates the programming file that is required for
downloading the design to the physical device A detailedprocedure for project design using FPGA is given in [21]
Schematic diagram to test SVPWM control method forgenerating gate pulses using FPGA is shown in Figure 23
Sine waveform and triangular carrier waveform of fre-quency 500Hz are given as input by ADC-SPI port andinverter gate pulses are obtained by user IO port which isshown in Figures 24 and 25 respectively
10 Journal of Energy
03 04 05 06 07 08 09 1 11
0
325
500
Time (s)
Volta
ge at
PCC
pha
se A
(V)
minus325
minus500
Via
(a)
03 04 05 06 07 08 09 1 112021222324252627282930
Time (s)
Wav
elet e
nerg
y PC
C ph
ase A
(V2)
X = 045009Y = 242683
EVa at PCC
(b)
Figure 19 (a) Voltage signal and (b) wavelet energy plot at PCC for phase A
03 04 05 06 07 08 09 1 11
0
325
500
Time (s)
Volta
ge at
PCC
pha
se B
(V)
minus325
minus500
Vib
(a)
03 04 05 06 07 08 09 1 1110
15
20
25
30
35
40
Time (s)
Wav
elet e
nerg
y PC
C ph
ase B
(V2)
EVa at PCC
(b)
Figure 20 (a) Voltage signal and (b) wavelet energy plot at PCC for phase B
03 04 05 06 07 08 09 1 11
0
325
500
Time (s)
Volta
ge at
PCC
pha
se C
(V)
minus325
minus500
Vic
(a)
03 04 05 06 07 08 09 1 1110
20
30
Time (s)
Wav
elet e
nerg
y PC
C ph
ase C
(V2)
EVc at PCC
(b)
Figure 21 (a) Voltage signal and (b) wavelet energy plot at PCC for phase C
7 Conclusions
The proposed method has been implemented for a 10 kWwind energy conversion system with rectifier-inverter inter-face which can work in grid connected mode as well as instand-alone mode The benefit of the used control schemeis that switching between the two operating modes happens
automatically on the basis of output of energy function Themost important feature of the system is its adaptability towork in both of the operatingmodes properly PLL is used forsynchronization in grid connected mode Simulation resultsdemonstrate the working and transition between the modesof WECS in only 3ms time and no transients appear duringtransition of modes
Journal of Energy 11
Bit file downloaded to FPGA board
Xilinx model based design using system generator
Netlist generation (VHDL file)
Altium designer software(VHDL file as a source file)
FPGA project design(open bus system design for SPI-ADC and
generated VHDL file as source file)
Compilation synthesis translate mappingplace and route time analysis and bit file generation
Figure 22 Step-by-step procedure for inverter gate pulse generationusing FPGA
IGBT module
Sine wave Triangular carrier
FPGA
S1 S2 S3 S4
LoadVDC
Figure 23 Schematic diagram for hardware setup
Figure 24 Load voltage and load current through RL load
Figure 25 Inverter output voltage and output gate pulses for singlephase bridge inverter
The tests concluded that detectionmethod has the follow-ing properties
(i) Detect grid disturbances event in just 3ms(ii) Accurate detection and quick transition maintain the
power quality and supply uninterrupted power tocritical load in case of grid outage
(iii) It is suitable for detection of steady state and transientstate disturbances both
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
References
[1] R Teodorescu F Iov and F Blaabjerg ldquoFlexible developmentand test system for 11kW wind turbinerdquo in Proceedings of theIEEE 34th Annual Power Electronics Specialists Conference pp67ndash72 June 2003
[2] N A Orlando M Liserre R A Mastromauro and ADellrsquoAquila ldquoA survey of control issues in pmsg-based smallwind-turbine systemsrdquo IEEE Transactions on Industrial Infor-matics vol 9 no 3 pp 1211ndash1221 2013
[3] R Teodorescu and F Blaabjerg ldquoFlexible control of small windturbines with grid failure detection operating in stand-aloneand grid-connected moderdquo IEEE Transactions on Power Elec-tronics vol 19 no 5 pp 1323ndash1332 2004
[4] B Singh andG K Kasal ldquoSolid state voltage and frequency con-troller for a stand alone wind power generating systemrdquo IEEETransactions on Power Electronics vol 23 no 3 pp 1170ndash11772008
[5] A Milczarek and M Malinowski ldquoMonitoring and controlalgorithms applied to small wind turbine with grid-connectedstand-alonemode of operationrdquoPrzeglad Elektrotechniczny vol88 pp 18ndash22 2012
[6] S I Jang and K H Kim ldquoAn islanding detection methodfor distributed generations using voltage unbalance and totalharmonic distortion of currentrdquo IEEE Transactions on PowerDelivery vol 19 no 2 pp 745ndash752 2004
[7] S I Jang and K H Kim ldquoA new islanding detection algorithmfor distributed generations interconnected with utility net-worksrdquo in Proceedings of the 8th IEE International Conference
12 Journal of Energy
on Developments in Power System Protection vol 2 pp 571ndash574IET April 2004
[8] S-I Jang and K-H Kim ldquoDevelopment of a logical rule-based islanding detection method for distributed resourcesrdquoin Proceedings of the IEEE Power Engineering Society WinterMeeting vol 2 pp 800ndash806 January 2002
[9] J W Resende M L R Chaves and C Penna ldquoIdentificationof power quality disturbances using the MATLAB wavelettransform toolboxrdquo in Proceedings of the 4th InternationalConference on Power Systems Transients (IPST rsquo01) Rio deJaneiro Brazil June 2001
[10] C Kocaman and M Ozdemir ldquoComparison of statisticalmethods and wavelet energy coefficients for determining twocommon PQ disturbances sag and wellrdquo in Proceedings of the6th International Conference on Electrical and Electronics Engi-neering (ELECO rsquo09) pp I80ndashI84 November 2009
[11] P K Ray N Kishor and S R Mohanty ldquoIslanding and powerquality disturbance detection in grid-connected hybrid powersystem using wavelet and S-transformrdquo IEEE Transactions onSmart Grid vol 3 no 3 pp 1082ndash1094 2012
[12] R Tirumala N Mohan and C Henze ldquoSeamless transfer ofgrid-connected PWM inverters between utility-interactive andstand-alone modesrdquo in Proceedings of the 17th Annual IEEEApplied Power Electronics Conference and Expositions (APECrsquo02) pp 1081ndash1086 March 2002
[13] A Timbus M Liserre R Teodorescu P Rodriguez and FBlaabjerg ldquoEvaluation of current controllers for distributedpower generation systemsrdquo IEEE Transactions on Power Elec-tronics vol 24 no 3 pp 654ndash664 2009
[14] S W Mohod and V A Mohan ldquoPower quality issues and itrsquosmitigation technique in wind energy generationrdquo in Proceedingsof the 13th International Conference on Harmonics and Qualityof Power (ICHQP rsquo08) Wollongong Australia October 2008
[15] C N Bhende S Mishra and S G Malla ldquoPermanent magnetsynchronous generator-based standalone wind energy supplysystemrdquo IEEE Transactions on Sustainable Energy vol 2 no 4pp 361ndash373 2011
[16] J M Carrasco L G Franquelo J T Bialasiewicz et al ldquoPower-electronic systems for the grid integration of renewable energysources a surveyrdquo IEEE Transactions on Industrial Electronicsvol 53 no 4 pp 1002ndash1016 2006
[17] C L Anooja andN Leena ldquoSingle phase shunt active filter withfuzzy controller for harmonic mitigationrdquo International Journalof Scientific amp Engineering Research vol 4 no 9 pp 445ndash4512013
[18] L G B Rolim D R Da Costa Jr and M Aredes ldquoAnalysisand software implementation of a robust synchronizing PLLcircuit based on the pq theoryrdquo IEEE Transactions on IndustrialElectronics vol 53 no 6 pp 1919ndash1926 2006
[19] B Jain T Jain S Jain and R K Nema ldquoPower quality improve-ment of an isolated wind power generation systemrdquo IOSRJournal of Electrical and Electronics Engineering vol 9 no 3 pp33ndash50 2014
[20] K Zhou and D Wang ldquoRelationship between space-vectormodulation and three-phase carrier-based PWM a compre-hensive analysisrdquo IEEE Transactions on Industrial Electronicsvol 49 no 1 pp 186ndash196 2002
[21] X Computation ldquoGetting started with the Xilinx Virtex-6FPGAMI-605 evaluation Kitrdquo 2010
TribologyAdvances in
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
AerospaceEngineeringHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
FuelsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal ofPetroleum Engineering
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Industrial EngineeringJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Power ElectronicsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Advances in
CombustionJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Renewable Energy
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
StructuresJournal of
International Journal of
RotatingMachinery
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
EnergyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporation httpwwwhindawicom
Journal ofEngineeringVolume 2014
Hindawi Publishing Corporation httpwwwhindawicom Volume 2014
International Journal ofPhotoenergy
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Nuclear InstallationsScience and Technology of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Solar EnergyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Wind EnergyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Nuclear EnergyInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
High Energy PhysicsAdvances in
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
6 Journal of Energy
Voltage source converters
Voltage source converters
PMSGWind turbine
LCL filter
Voltagesensor
SVPWMSynchronous
reference framecontroller
Pulse isolationand amplifier
Critical loadCurrent
sensor
TransformerGrid
Circuit breaker
Voltagesensor
DWT controller
Voltagesensor
minus
+
S1
S2
S3
S4
S5
S6
O
AB
C
C
CDC
L1 L2
ig1 ig2ig3ig4 ig5ig6
Vlowastabc
VabcIabc
Figure 8 Schematic diagram of WECS connected to grid
Table 1 Parameters selection for proposed method
Parameter Peak voltage level (119881) Wavelet energy (1198812) Normalized wavelet energyPeak voltage of grid 325 23 lowast 119890610
5 23Permissible limit of voltage swell 390 40 lowast 119890610
5 40Permissible limit of voltage sag 260 11 lowast 119890610
5 11
length decomposed in 6th level using same mother waveletfunction db2 and coefficients energy of cD6 is calculatedPermissible variation in reference signal is considered andthe entire procedure is repeated to calculate lower and upperthreshold settings Table 1 is listing the wavelet energy fordifferent cases which helps in deciding lower and upperthreshold settings
5 Schematic Diagram of SystemResults and Discussions
A schematic diagram of grid connected WECS consists of3-0 PMSG full-bridge rectifier DC-link capacitor a 3-0IGBT based full-bridge inverter critical load LCL filtertransformer and circuit breaker and 400 volt 50Hz ac sourceis shown Figure 8 The system parameters used in simulationare given in Table 2 Simulation model of the system isdeveloped inMATLABsimulink environment All the valuesgiven in Table 2 have been calculated during mathematicalmodelling of WECS and grid connected WECS
51 Before Fault Figure 9 shows the output voltages undernormal grid condition It shows that the implemented controlmethod of voltage source inverter is maintaining the outputin desired form Figure 10 shows load voltage and loadcurrent under normal grid condition
52 During Fault It can be seen from Figure 11 that in caseof fault in phase B grid voltages of phase A and phase C have
Table 2 Design parameters for simulation
Description Symbolicrepresentation Value
Capacitor 119862dc 2200 120583FDC-link voltage 119881DC 650 voltsAC output voltage 119881
119904230 volts rms
AC output frequency 119891 50HzInverter side filter inductor 119871
102mH
Grid side filter inductor 1198712
01mHFilter capacitor 119862
110120583F
Inverter switching frequency 119891119904
3 kHz
been inceased Grid fault occurs at 119905 = 045 sec and continuestill 119905 = 07 sec Monitoring algorithm is constantly moni-toring the grid condition Such cases must be detected andreported to utility intactive inverter at the earliest so that sup-ply to critical load will be continued by intentional islandingof WECS The load is supplied fromWECS and grid currentis zero in case of grid fault Source current and load currents(local and shared load both) which are now supplied fromWECS in case of grid not present can be seen from Figure 12
Grid fault causes voltage variations in all the three phasesVoltage waveform of all the three phases and correspondingcoefficients energy plots are displayed in Figures 13 14 and 15respectively in red green (istead of yellow for improvedvisibility) and blue color for phase A phase B and phase CWavelet energy is normalized as calculated value has very
Journal of Energy 7
05 055 06 065 07 075 08
0100200300400
Time (s)
Grid
vol
tage
s (V
)
minus100
minus200
minus300
minus400
VaVbVc
Figure 9 Three-phase grid voltages before fault
05 06 07 08 09 1
0
325400
Time (s)
Load voltageLoad current
Load
vol
tage
(V)
Load
curr
ent (
amps
)
minus200
minus325minus400
Figure 10 Output waveform of load voltage and load current beforefault
large value and even a large change in coeficients energy can-not be clearly observed from actual plots of wavelet energyGrid voltages and corresponding coefficients energy plot aregraphical representation of change in wavelet coefficientsenergy in case of grid disturbances Threshold level withcalculated threshold further helps in transition of modesfrom grid connected to stand-alone and vice versa
At 119905 = 045 sec grid fault occurs wavelet based monitor-ing algorithm detects it at 048 sec and changes the mode ofWECS from grid connected to stand-alone Many distribu-tion systems use autoreclosing to clear temporary faults andhence it is essential to detect grid faults before the autore-closer operates to avoid out phase reclosing Grid fault causesvoltage variations in all the three phases which can beobserved clearly in Figure 16
Transition of mode from grid connected to stand-aloneoccured at 048 sec which is the total time taken by the pro-posed method in detection of grid disturbance and furtherisolate the WECS by operting circuit breaker which discon-nects it from grid When mode trasition occurs controllerof VSI changes its mode and continues to feed power to theload connected to it The grid monitoring algorithm detectsfault and changes mode of operation from grid connected
04 045 05 055 06 065 07 075 08 085 09
325
0
325
500
Time (s)
Grid
vol
tage
s (V
)
minus500
VaVbVc
Figure 11 Three-phase grid voltages during disturbance
04 045 05 055 06 065 07 075 08 085 09
0
10
20
30
Time (s)
Source currentLocal load currentShared load current
Sour
ce cu
rren
t (am
ps)
minus10
minus20
minus30
Figure 12 Source current local load current and shared load cur-rent
mode to stand-alone mode at 048 sec when circuit breakersopensThe timings of mode change and circuit breaker status(1 means WECS grid connected 0 means disconnected fromgrid) can be seen from Figure 17 Figure 18 displays the lowerthreshold value due to which transition occurs
Grid voltage of all the phases and corresponding coef-ficients energy plots are shown in Figures 19 20 and 21respectively of phase A phase B and phase C Grid voltagesand corresponding coefficients energy plot are graphical rep-resentation of wavelet coefficients energy A small change involtages at load terminal (PCC) can be observed in the signaland associated wavelet energy plot in Figures 19 20 and 21that is due to change of load because of mode transitionWECS is now fed power to critical load and local loads con-nected to it Monitoring is still continued at PCC to check forgrid condition On the basis of threshold value of waveletenergy transition occurs from stand-alone mode to gridconnected mode which can be observed from Figures 19(a)and 19(b) at time 07 sec when fault is cleared
The power conditioning module for both the modesis based space vector pulse width modulation Instead ofconventional SVM triangular carrier based SVM is used to
8 Journal of Energy
03 04 05 06 07 08 09 1 11
0
325
500
Time (s)
Grid
vol
tage
pha
se A
(V)
minus325
minus500
Vga
(a)
03 04 05 06 07 08 09 1 110
102030405060708090
100
Time (s)
Wav
elet e
nerg
y ph
ase A
(V2)
EVa
(b)
Figure 13 (a) Voltage signal and (b) corresponding wavelet energy plot of phase A
03 04 05 06 07 08 09 1 11500
0
325
500
Time (s)
Grid
vol
tage
pha
se B
(V)
minus325
Vgb
(a)
03 04 05 06 07 08 09 1 110
5
10
15
20
25
Time (s)
Wav
elet e
nerg
y ph
ase B
(V2)
EVb
(b)
Figure 14 (a) Voltage signal and (b) corresponding wavelet energy plot for fault in phase B
03 04 05 06 07 08 09 1 11
325
0
325
500
Time (s)
Grid
vol
tage
pha
se C
(V)
minus500
Vgc
(a)
03 04 05 06 07 08 09 1 1110
15
20
25
30
35
40
Time (s)
Wav
elet e
nerg
y ph
ase C
(V2)
EVc
(b)
Figure 15 (a) Voltage signal and (b) corresponding wavelet energy plot of phase C
reduce computation burden as sector determination is notrequired in implementation The benefits of using DWT andwavelet energy based algorithm are accurate detection of startand end time of occurrence of any event or varaitions Accu-rate and quick detection can also be helpful for protection ofequipments as well as for the safety and stability of the system
6 Generation of Gate Pulses for Single PhaseBridge Inverter Using FPGA
In grid connected mode as well as in stand-alone mode ofWECS space vector pulse width modulation scheme hasbeen used for inverter control Its performance is checked
Journal of Energy 9
04 045 05 055 06 065 07 075 08 085 09
0100200300400
Time (s)In
vert
er v
olta
ges (
V)
minus100
minus200
minus300
minus400
ViaVibVic
Figure 16 Three-phase voltages at PCC
03 04 05 06 07 08 09 1 110
02040608
112141618
2
Time (s)
Tran
sitio
n of
mod
es
Circuit breaker status (onoff)
Gridconnected mode of WECS
Stand-alone mode of WECS
X = 048Y = 0
Figure 17 Transition of modes
04 045 05 055 06 065 07 075 08 085 0905
10152025303540
Time (s)
Wavelet energyLower threshold
Lower threshold
Wav
elet e
nerg
y ph
ase A
(V2)
Figure 18 Threshold settings
using FPGA with Altium NB 3000 Xilinx Spartan 3ANprocessor Step-by-step procedure for generating invertergate pulse is shown in Figure 22 XILINX ISE design suite145 is used formodel based design for PWMpulse generationfor single phase bridge inverter and Altium designer softwareis used for FPGA project design Number of steps has beenperformed for bit file generation using Altium design soft-ware It generates the programming file that is required for
downloading the design to the physical device A detailedprocedure for project design using FPGA is given in [21]
Schematic diagram to test SVPWM control method forgenerating gate pulses using FPGA is shown in Figure 23
Sine waveform and triangular carrier waveform of fre-quency 500Hz are given as input by ADC-SPI port andinverter gate pulses are obtained by user IO port which isshown in Figures 24 and 25 respectively
10 Journal of Energy
03 04 05 06 07 08 09 1 11
0
325
500
Time (s)
Volta
ge at
PCC
pha
se A
(V)
minus325
minus500
Via
(a)
03 04 05 06 07 08 09 1 112021222324252627282930
Time (s)
Wav
elet e
nerg
y PC
C ph
ase A
(V2)
X = 045009Y = 242683
EVa at PCC
(b)
Figure 19 (a) Voltage signal and (b) wavelet energy plot at PCC for phase A
03 04 05 06 07 08 09 1 11
0
325
500
Time (s)
Volta
ge at
PCC
pha
se B
(V)
minus325
minus500
Vib
(a)
03 04 05 06 07 08 09 1 1110
15
20
25
30
35
40
Time (s)
Wav
elet e
nerg
y PC
C ph
ase B
(V2)
EVa at PCC
(b)
Figure 20 (a) Voltage signal and (b) wavelet energy plot at PCC for phase B
03 04 05 06 07 08 09 1 11
0
325
500
Time (s)
Volta
ge at
PCC
pha
se C
(V)
minus325
minus500
Vic
(a)
03 04 05 06 07 08 09 1 1110
20
30
Time (s)
Wav
elet e
nerg
y PC
C ph
ase C
(V2)
EVc at PCC
(b)
Figure 21 (a) Voltage signal and (b) wavelet energy plot at PCC for phase C
7 Conclusions
The proposed method has been implemented for a 10 kWwind energy conversion system with rectifier-inverter inter-face which can work in grid connected mode as well as instand-alone mode The benefit of the used control schemeis that switching between the two operating modes happens
automatically on the basis of output of energy function Themost important feature of the system is its adaptability towork in both of the operatingmodes properly PLL is used forsynchronization in grid connected mode Simulation resultsdemonstrate the working and transition between the modesof WECS in only 3ms time and no transients appear duringtransition of modes
Journal of Energy 11
Bit file downloaded to FPGA board
Xilinx model based design using system generator
Netlist generation (VHDL file)
Altium designer software(VHDL file as a source file)
FPGA project design(open bus system design for SPI-ADC and
generated VHDL file as source file)
Compilation synthesis translate mappingplace and route time analysis and bit file generation
Figure 22 Step-by-step procedure for inverter gate pulse generationusing FPGA
IGBT module
Sine wave Triangular carrier
FPGA
S1 S2 S3 S4
LoadVDC
Figure 23 Schematic diagram for hardware setup
Figure 24 Load voltage and load current through RL load
Figure 25 Inverter output voltage and output gate pulses for singlephase bridge inverter
The tests concluded that detectionmethod has the follow-ing properties
(i) Detect grid disturbances event in just 3ms(ii) Accurate detection and quick transition maintain the
power quality and supply uninterrupted power tocritical load in case of grid outage
(iii) It is suitable for detection of steady state and transientstate disturbances both
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
References
[1] R Teodorescu F Iov and F Blaabjerg ldquoFlexible developmentand test system for 11kW wind turbinerdquo in Proceedings of theIEEE 34th Annual Power Electronics Specialists Conference pp67ndash72 June 2003
[2] N A Orlando M Liserre R A Mastromauro and ADellrsquoAquila ldquoA survey of control issues in pmsg-based smallwind-turbine systemsrdquo IEEE Transactions on Industrial Infor-matics vol 9 no 3 pp 1211ndash1221 2013
[3] R Teodorescu and F Blaabjerg ldquoFlexible control of small windturbines with grid failure detection operating in stand-aloneand grid-connected moderdquo IEEE Transactions on Power Elec-tronics vol 19 no 5 pp 1323ndash1332 2004
[4] B Singh andG K Kasal ldquoSolid state voltage and frequency con-troller for a stand alone wind power generating systemrdquo IEEETransactions on Power Electronics vol 23 no 3 pp 1170ndash11772008
[5] A Milczarek and M Malinowski ldquoMonitoring and controlalgorithms applied to small wind turbine with grid-connectedstand-alonemode of operationrdquoPrzeglad Elektrotechniczny vol88 pp 18ndash22 2012
[6] S I Jang and K H Kim ldquoAn islanding detection methodfor distributed generations using voltage unbalance and totalharmonic distortion of currentrdquo IEEE Transactions on PowerDelivery vol 19 no 2 pp 745ndash752 2004
[7] S I Jang and K H Kim ldquoA new islanding detection algorithmfor distributed generations interconnected with utility net-worksrdquo in Proceedings of the 8th IEE International Conference
12 Journal of Energy
on Developments in Power System Protection vol 2 pp 571ndash574IET April 2004
[8] S-I Jang and K-H Kim ldquoDevelopment of a logical rule-based islanding detection method for distributed resourcesrdquoin Proceedings of the IEEE Power Engineering Society WinterMeeting vol 2 pp 800ndash806 January 2002
[9] J W Resende M L R Chaves and C Penna ldquoIdentificationof power quality disturbances using the MATLAB wavelettransform toolboxrdquo in Proceedings of the 4th InternationalConference on Power Systems Transients (IPST rsquo01) Rio deJaneiro Brazil June 2001
[10] C Kocaman and M Ozdemir ldquoComparison of statisticalmethods and wavelet energy coefficients for determining twocommon PQ disturbances sag and wellrdquo in Proceedings of the6th International Conference on Electrical and Electronics Engi-neering (ELECO rsquo09) pp I80ndashI84 November 2009
[11] P K Ray N Kishor and S R Mohanty ldquoIslanding and powerquality disturbance detection in grid-connected hybrid powersystem using wavelet and S-transformrdquo IEEE Transactions onSmart Grid vol 3 no 3 pp 1082ndash1094 2012
[12] R Tirumala N Mohan and C Henze ldquoSeamless transfer ofgrid-connected PWM inverters between utility-interactive andstand-alone modesrdquo in Proceedings of the 17th Annual IEEEApplied Power Electronics Conference and Expositions (APECrsquo02) pp 1081ndash1086 March 2002
[13] A Timbus M Liserre R Teodorescu P Rodriguez and FBlaabjerg ldquoEvaluation of current controllers for distributedpower generation systemsrdquo IEEE Transactions on Power Elec-tronics vol 24 no 3 pp 654ndash664 2009
[14] S W Mohod and V A Mohan ldquoPower quality issues and itrsquosmitigation technique in wind energy generationrdquo in Proceedingsof the 13th International Conference on Harmonics and Qualityof Power (ICHQP rsquo08) Wollongong Australia October 2008
[15] C N Bhende S Mishra and S G Malla ldquoPermanent magnetsynchronous generator-based standalone wind energy supplysystemrdquo IEEE Transactions on Sustainable Energy vol 2 no 4pp 361ndash373 2011
[16] J M Carrasco L G Franquelo J T Bialasiewicz et al ldquoPower-electronic systems for the grid integration of renewable energysources a surveyrdquo IEEE Transactions on Industrial Electronicsvol 53 no 4 pp 1002ndash1016 2006
[17] C L Anooja andN Leena ldquoSingle phase shunt active filter withfuzzy controller for harmonic mitigationrdquo International Journalof Scientific amp Engineering Research vol 4 no 9 pp 445ndash4512013
[18] L G B Rolim D R Da Costa Jr and M Aredes ldquoAnalysisand software implementation of a robust synchronizing PLLcircuit based on the pq theoryrdquo IEEE Transactions on IndustrialElectronics vol 53 no 6 pp 1919ndash1926 2006
[19] B Jain T Jain S Jain and R K Nema ldquoPower quality improve-ment of an isolated wind power generation systemrdquo IOSRJournal of Electrical and Electronics Engineering vol 9 no 3 pp33ndash50 2014
[20] K Zhou and D Wang ldquoRelationship between space-vectormodulation and three-phase carrier-based PWM a compre-hensive analysisrdquo IEEE Transactions on Industrial Electronicsvol 49 no 1 pp 186ndash196 2002
[21] X Computation ldquoGetting started with the Xilinx Virtex-6FPGAMI-605 evaluation Kitrdquo 2010
TribologyAdvances in
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
AerospaceEngineeringHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
FuelsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal ofPetroleum Engineering
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Industrial EngineeringJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Power ElectronicsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Advances in
CombustionJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Renewable Energy
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
StructuresJournal of
International Journal of
RotatingMachinery
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
EnergyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporation httpwwwhindawicom
Journal ofEngineeringVolume 2014
Hindawi Publishing Corporation httpwwwhindawicom Volume 2014
International Journal ofPhotoenergy
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Nuclear InstallationsScience and Technology of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Solar EnergyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Wind EnergyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Nuclear EnergyInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
High Energy PhysicsAdvances in
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Journal of Energy 7
05 055 06 065 07 075 08
0100200300400
Time (s)
Grid
vol
tage
s (V
)
minus100
minus200
minus300
minus400
VaVbVc
Figure 9 Three-phase grid voltages before fault
05 06 07 08 09 1
0
325400
Time (s)
Load voltageLoad current
Load
vol
tage
(V)
Load
curr
ent (
amps
)
minus200
minus325minus400
Figure 10 Output waveform of load voltage and load current beforefault
large value and even a large change in coeficients energy can-not be clearly observed from actual plots of wavelet energyGrid voltages and corresponding coefficients energy plot aregraphical representation of change in wavelet coefficientsenergy in case of grid disturbances Threshold level withcalculated threshold further helps in transition of modesfrom grid connected to stand-alone and vice versa
At 119905 = 045 sec grid fault occurs wavelet based monitor-ing algorithm detects it at 048 sec and changes the mode ofWECS from grid connected to stand-alone Many distribu-tion systems use autoreclosing to clear temporary faults andhence it is essential to detect grid faults before the autore-closer operates to avoid out phase reclosing Grid fault causesvoltage variations in all the three phases which can beobserved clearly in Figure 16
Transition of mode from grid connected to stand-aloneoccured at 048 sec which is the total time taken by the pro-posed method in detection of grid disturbance and furtherisolate the WECS by operting circuit breaker which discon-nects it from grid When mode trasition occurs controllerof VSI changes its mode and continues to feed power to theload connected to it The grid monitoring algorithm detectsfault and changes mode of operation from grid connected
04 045 05 055 06 065 07 075 08 085 09
325
0
325
500
Time (s)
Grid
vol
tage
s (V
)
minus500
VaVbVc
Figure 11 Three-phase grid voltages during disturbance
04 045 05 055 06 065 07 075 08 085 09
0
10
20
30
Time (s)
Source currentLocal load currentShared load current
Sour
ce cu
rren
t (am
ps)
minus10
minus20
minus30
Figure 12 Source current local load current and shared load cur-rent
mode to stand-alone mode at 048 sec when circuit breakersopensThe timings of mode change and circuit breaker status(1 means WECS grid connected 0 means disconnected fromgrid) can be seen from Figure 17 Figure 18 displays the lowerthreshold value due to which transition occurs
Grid voltage of all the phases and corresponding coef-ficients energy plots are shown in Figures 19 20 and 21respectively of phase A phase B and phase C Grid voltagesand corresponding coefficients energy plot are graphical rep-resentation of wavelet coefficients energy A small change involtages at load terminal (PCC) can be observed in the signaland associated wavelet energy plot in Figures 19 20 and 21that is due to change of load because of mode transitionWECS is now fed power to critical load and local loads con-nected to it Monitoring is still continued at PCC to check forgrid condition On the basis of threshold value of waveletenergy transition occurs from stand-alone mode to gridconnected mode which can be observed from Figures 19(a)and 19(b) at time 07 sec when fault is cleared
The power conditioning module for both the modesis based space vector pulse width modulation Instead ofconventional SVM triangular carrier based SVM is used to
8 Journal of Energy
03 04 05 06 07 08 09 1 11
0
325
500
Time (s)
Grid
vol
tage
pha
se A
(V)
minus325
minus500
Vga
(a)
03 04 05 06 07 08 09 1 110
102030405060708090
100
Time (s)
Wav
elet e
nerg
y ph
ase A
(V2)
EVa
(b)
Figure 13 (a) Voltage signal and (b) corresponding wavelet energy plot of phase A
03 04 05 06 07 08 09 1 11500
0
325
500
Time (s)
Grid
vol
tage
pha
se B
(V)
minus325
Vgb
(a)
03 04 05 06 07 08 09 1 110
5
10
15
20
25
Time (s)
Wav
elet e
nerg
y ph
ase B
(V2)
EVb
(b)
Figure 14 (a) Voltage signal and (b) corresponding wavelet energy plot for fault in phase B
03 04 05 06 07 08 09 1 11
325
0
325
500
Time (s)
Grid
vol
tage
pha
se C
(V)
minus500
Vgc
(a)
03 04 05 06 07 08 09 1 1110
15
20
25
30
35
40
Time (s)
Wav
elet e
nerg
y ph
ase C
(V2)
EVc
(b)
Figure 15 (a) Voltage signal and (b) corresponding wavelet energy plot of phase C
reduce computation burden as sector determination is notrequired in implementation The benefits of using DWT andwavelet energy based algorithm are accurate detection of startand end time of occurrence of any event or varaitions Accu-rate and quick detection can also be helpful for protection ofequipments as well as for the safety and stability of the system
6 Generation of Gate Pulses for Single PhaseBridge Inverter Using FPGA
In grid connected mode as well as in stand-alone mode ofWECS space vector pulse width modulation scheme hasbeen used for inverter control Its performance is checked
Journal of Energy 9
04 045 05 055 06 065 07 075 08 085 09
0100200300400
Time (s)In
vert
er v
olta
ges (
V)
minus100
minus200
minus300
minus400
ViaVibVic
Figure 16 Three-phase voltages at PCC
03 04 05 06 07 08 09 1 110
02040608
112141618
2
Time (s)
Tran
sitio
n of
mod
es
Circuit breaker status (onoff)
Gridconnected mode of WECS
Stand-alone mode of WECS
X = 048Y = 0
Figure 17 Transition of modes
04 045 05 055 06 065 07 075 08 085 0905
10152025303540
Time (s)
Wavelet energyLower threshold
Lower threshold
Wav
elet e
nerg
y ph
ase A
(V2)
Figure 18 Threshold settings
using FPGA with Altium NB 3000 Xilinx Spartan 3ANprocessor Step-by-step procedure for generating invertergate pulse is shown in Figure 22 XILINX ISE design suite145 is used formodel based design for PWMpulse generationfor single phase bridge inverter and Altium designer softwareis used for FPGA project design Number of steps has beenperformed for bit file generation using Altium design soft-ware It generates the programming file that is required for
downloading the design to the physical device A detailedprocedure for project design using FPGA is given in [21]
Schematic diagram to test SVPWM control method forgenerating gate pulses using FPGA is shown in Figure 23
Sine waveform and triangular carrier waveform of fre-quency 500Hz are given as input by ADC-SPI port andinverter gate pulses are obtained by user IO port which isshown in Figures 24 and 25 respectively
10 Journal of Energy
03 04 05 06 07 08 09 1 11
0
325
500
Time (s)
Volta
ge at
PCC
pha
se A
(V)
minus325
minus500
Via
(a)
03 04 05 06 07 08 09 1 112021222324252627282930
Time (s)
Wav
elet e
nerg
y PC
C ph
ase A
(V2)
X = 045009Y = 242683
EVa at PCC
(b)
Figure 19 (a) Voltage signal and (b) wavelet energy plot at PCC for phase A
03 04 05 06 07 08 09 1 11
0
325
500
Time (s)
Volta
ge at
PCC
pha
se B
(V)
minus325
minus500
Vib
(a)
03 04 05 06 07 08 09 1 1110
15
20
25
30
35
40
Time (s)
Wav
elet e
nerg
y PC
C ph
ase B
(V2)
EVa at PCC
(b)
Figure 20 (a) Voltage signal and (b) wavelet energy plot at PCC for phase B
03 04 05 06 07 08 09 1 11
0
325
500
Time (s)
Volta
ge at
PCC
pha
se C
(V)
minus325
minus500
Vic
(a)
03 04 05 06 07 08 09 1 1110
20
30
Time (s)
Wav
elet e
nerg
y PC
C ph
ase C
(V2)
EVc at PCC
(b)
Figure 21 (a) Voltage signal and (b) wavelet energy plot at PCC for phase C
7 Conclusions
The proposed method has been implemented for a 10 kWwind energy conversion system with rectifier-inverter inter-face which can work in grid connected mode as well as instand-alone mode The benefit of the used control schemeis that switching between the two operating modes happens
automatically on the basis of output of energy function Themost important feature of the system is its adaptability towork in both of the operatingmodes properly PLL is used forsynchronization in grid connected mode Simulation resultsdemonstrate the working and transition between the modesof WECS in only 3ms time and no transients appear duringtransition of modes
Journal of Energy 11
Bit file downloaded to FPGA board
Xilinx model based design using system generator
Netlist generation (VHDL file)
Altium designer software(VHDL file as a source file)
FPGA project design(open bus system design for SPI-ADC and
generated VHDL file as source file)
Compilation synthesis translate mappingplace and route time analysis and bit file generation
Figure 22 Step-by-step procedure for inverter gate pulse generationusing FPGA
IGBT module
Sine wave Triangular carrier
FPGA
S1 S2 S3 S4
LoadVDC
Figure 23 Schematic diagram for hardware setup
Figure 24 Load voltage and load current through RL load
Figure 25 Inverter output voltage and output gate pulses for singlephase bridge inverter
The tests concluded that detectionmethod has the follow-ing properties
(i) Detect grid disturbances event in just 3ms(ii) Accurate detection and quick transition maintain the
power quality and supply uninterrupted power tocritical load in case of grid outage
(iii) It is suitable for detection of steady state and transientstate disturbances both
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
References
[1] R Teodorescu F Iov and F Blaabjerg ldquoFlexible developmentand test system for 11kW wind turbinerdquo in Proceedings of theIEEE 34th Annual Power Electronics Specialists Conference pp67ndash72 June 2003
[2] N A Orlando M Liserre R A Mastromauro and ADellrsquoAquila ldquoA survey of control issues in pmsg-based smallwind-turbine systemsrdquo IEEE Transactions on Industrial Infor-matics vol 9 no 3 pp 1211ndash1221 2013
[3] R Teodorescu and F Blaabjerg ldquoFlexible control of small windturbines with grid failure detection operating in stand-aloneand grid-connected moderdquo IEEE Transactions on Power Elec-tronics vol 19 no 5 pp 1323ndash1332 2004
[4] B Singh andG K Kasal ldquoSolid state voltage and frequency con-troller for a stand alone wind power generating systemrdquo IEEETransactions on Power Electronics vol 23 no 3 pp 1170ndash11772008
[5] A Milczarek and M Malinowski ldquoMonitoring and controlalgorithms applied to small wind turbine with grid-connectedstand-alonemode of operationrdquoPrzeglad Elektrotechniczny vol88 pp 18ndash22 2012
[6] S I Jang and K H Kim ldquoAn islanding detection methodfor distributed generations using voltage unbalance and totalharmonic distortion of currentrdquo IEEE Transactions on PowerDelivery vol 19 no 2 pp 745ndash752 2004
[7] S I Jang and K H Kim ldquoA new islanding detection algorithmfor distributed generations interconnected with utility net-worksrdquo in Proceedings of the 8th IEE International Conference
12 Journal of Energy
on Developments in Power System Protection vol 2 pp 571ndash574IET April 2004
[8] S-I Jang and K-H Kim ldquoDevelopment of a logical rule-based islanding detection method for distributed resourcesrdquoin Proceedings of the IEEE Power Engineering Society WinterMeeting vol 2 pp 800ndash806 January 2002
[9] J W Resende M L R Chaves and C Penna ldquoIdentificationof power quality disturbances using the MATLAB wavelettransform toolboxrdquo in Proceedings of the 4th InternationalConference on Power Systems Transients (IPST rsquo01) Rio deJaneiro Brazil June 2001
[10] C Kocaman and M Ozdemir ldquoComparison of statisticalmethods and wavelet energy coefficients for determining twocommon PQ disturbances sag and wellrdquo in Proceedings of the6th International Conference on Electrical and Electronics Engi-neering (ELECO rsquo09) pp I80ndashI84 November 2009
[11] P K Ray N Kishor and S R Mohanty ldquoIslanding and powerquality disturbance detection in grid-connected hybrid powersystem using wavelet and S-transformrdquo IEEE Transactions onSmart Grid vol 3 no 3 pp 1082ndash1094 2012
[12] R Tirumala N Mohan and C Henze ldquoSeamless transfer ofgrid-connected PWM inverters between utility-interactive andstand-alone modesrdquo in Proceedings of the 17th Annual IEEEApplied Power Electronics Conference and Expositions (APECrsquo02) pp 1081ndash1086 March 2002
[13] A Timbus M Liserre R Teodorescu P Rodriguez and FBlaabjerg ldquoEvaluation of current controllers for distributedpower generation systemsrdquo IEEE Transactions on Power Elec-tronics vol 24 no 3 pp 654ndash664 2009
[14] S W Mohod and V A Mohan ldquoPower quality issues and itrsquosmitigation technique in wind energy generationrdquo in Proceedingsof the 13th International Conference on Harmonics and Qualityof Power (ICHQP rsquo08) Wollongong Australia October 2008
[15] C N Bhende S Mishra and S G Malla ldquoPermanent magnetsynchronous generator-based standalone wind energy supplysystemrdquo IEEE Transactions on Sustainable Energy vol 2 no 4pp 361ndash373 2011
[16] J M Carrasco L G Franquelo J T Bialasiewicz et al ldquoPower-electronic systems for the grid integration of renewable energysources a surveyrdquo IEEE Transactions on Industrial Electronicsvol 53 no 4 pp 1002ndash1016 2006
[17] C L Anooja andN Leena ldquoSingle phase shunt active filter withfuzzy controller for harmonic mitigationrdquo International Journalof Scientific amp Engineering Research vol 4 no 9 pp 445ndash4512013
[18] L G B Rolim D R Da Costa Jr and M Aredes ldquoAnalysisand software implementation of a robust synchronizing PLLcircuit based on the pq theoryrdquo IEEE Transactions on IndustrialElectronics vol 53 no 6 pp 1919ndash1926 2006
[19] B Jain T Jain S Jain and R K Nema ldquoPower quality improve-ment of an isolated wind power generation systemrdquo IOSRJournal of Electrical and Electronics Engineering vol 9 no 3 pp33ndash50 2014
[20] K Zhou and D Wang ldquoRelationship between space-vectormodulation and three-phase carrier-based PWM a compre-hensive analysisrdquo IEEE Transactions on Industrial Electronicsvol 49 no 1 pp 186ndash196 2002
[21] X Computation ldquoGetting started with the Xilinx Virtex-6FPGAMI-605 evaluation Kitrdquo 2010
TribologyAdvances in
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
AerospaceEngineeringHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
FuelsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal ofPetroleum Engineering
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Industrial EngineeringJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Power ElectronicsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Advances in
CombustionJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Renewable Energy
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
StructuresJournal of
International Journal of
RotatingMachinery
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
EnergyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporation httpwwwhindawicom
Journal ofEngineeringVolume 2014
Hindawi Publishing Corporation httpwwwhindawicom Volume 2014
International Journal ofPhotoenergy
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Nuclear InstallationsScience and Technology of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Solar EnergyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Wind EnergyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Nuclear EnergyInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
High Energy PhysicsAdvances in
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
8 Journal of Energy
03 04 05 06 07 08 09 1 11
0
325
500
Time (s)
Grid
vol
tage
pha
se A
(V)
minus325
minus500
Vga
(a)
03 04 05 06 07 08 09 1 110
102030405060708090
100
Time (s)
Wav
elet e
nerg
y ph
ase A
(V2)
EVa
(b)
Figure 13 (a) Voltage signal and (b) corresponding wavelet energy plot of phase A
03 04 05 06 07 08 09 1 11500
0
325
500
Time (s)
Grid
vol
tage
pha
se B
(V)
minus325
Vgb
(a)
03 04 05 06 07 08 09 1 110
5
10
15
20
25
Time (s)
Wav
elet e
nerg
y ph
ase B
(V2)
EVb
(b)
Figure 14 (a) Voltage signal and (b) corresponding wavelet energy plot for fault in phase B
03 04 05 06 07 08 09 1 11
325
0
325
500
Time (s)
Grid
vol
tage
pha
se C
(V)
minus500
Vgc
(a)
03 04 05 06 07 08 09 1 1110
15
20
25
30
35
40
Time (s)
Wav
elet e
nerg
y ph
ase C
(V2)
EVc
(b)
Figure 15 (a) Voltage signal and (b) corresponding wavelet energy plot of phase C
reduce computation burden as sector determination is notrequired in implementation The benefits of using DWT andwavelet energy based algorithm are accurate detection of startand end time of occurrence of any event or varaitions Accu-rate and quick detection can also be helpful for protection ofequipments as well as for the safety and stability of the system
6 Generation of Gate Pulses for Single PhaseBridge Inverter Using FPGA
In grid connected mode as well as in stand-alone mode ofWECS space vector pulse width modulation scheme hasbeen used for inverter control Its performance is checked
Journal of Energy 9
04 045 05 055 06 065 07 075 08 085 09
0100200300400
Time (s)In
vert
er v
olta
ges (
V)
minus100
minus200
minus300
minus400
ViaVibVic
Figure 16 Three-phase voltages at PCC
03 04 05 06 07 08 09 1 110
02040608
112141618
2
Time (s)
Tran
sitio
n of
mod
es
Circuit breaker status (onoff)
Gridconnected mode of WECS
Stand-alone mode of WECS
X = 048Y = 0
Figure 17 Transition of modes
04 045 05 055 06 065 07 075 08 085 0905
10152025303540
Time (s)
Wavelet energyLower threshold
Lower threshold
Wav
elet e
nerg
y ph
ase A
(V2)
Figure 18 Threshold settings
using FPGA with Altium NB 3000 Xilinx Spartan 3ANprocessor Step-by-step procedure for generating invertergate pulse is shown in Figure 22 XILINX ISE design suite145 is used formodel based design for PWMpulse generationfor single phase bridge inverter and Altium designer softwareis used for FPGA project design Number of steps has beenperformed for bit file generation using Altium design soft-ware It generates the programming file that is required for
downloading the design to the physical device A detailedprocedure for project design using FPGA is given in [21]
Schematic diagram to test SVPWM control method forgenerating gate pulses using FPGA is shown in Figure 23
Sine waveform and triangular carrier waveform of fre-quency 500Hz are given as input by ADC-SPI port andinverter gate pulses are obtained by user IO port which isshown in Figures 24 and 25 respectively
10 Journal of Energy
03 04 05 06 07 08 09 1 11
0
325
500
Time (s)
Volta
ge at
PCC
pha
se A
(V)
minus325
minus500
Via
(a)
03 04 05 06 07 08 09 1 112021222324252627282930
Time (s)
Wav
elet e
nerg
y PC
C ph
ase A
(V2)
X = 045009Y = 242683
EVa at PCC
(b)
Figure 19 (a) Voltage signal and (b) wavelet energy plot at PCC for phase A
03 04 05 06 07 08 09 1 11
0
325
500
Time (s)
Volta
ge at
PCC
pha
se B
(V)
minus325
minus500
Vib
(a)
03 04 05 06 07 08 09 1 1110
15
20
25
30
35
40
Time (s)
Wav
elet e
nerg
y PC
C ph
ase B
(V2)
EVa at PCC
(b)
Figure 20 (a) Voltage signal and (b) wavelet energy plot at PCC for phase B
03 04 05 06 07 08 09 1 11
0
325
500
Time (s)
Volta
ge at
PCC
pha
se C
(V)
minus325
minus500
Vic
(a)
03 04 05 06 07 08 09 1 1110
20
30
Time (s)
Wav
elet e
nerg
y PC
C ph
ase C
(V2)
EVc at PCC
(b)
Figure 21 (a) Voltage signal and (b) wavelet energy plot at PCC for phase C
7 Conclusions
The proposed method has been implemented for a 10 kWwind energy conversion system with rectifier-inverter inter-face which can work in grid connected mode as well as instand-alone mode The benefit of the used control schemeis that switching between the two operating modes happens
automatically on the basis of output of energy function Themost important feature of the system is its adaptability towork in both of the operatingmodes properly PLL is used forsynchronization in grid connected mode Simulation resultsdemonstrate the working and transition between the modesof WECS in only 3ms time and no transients appear duringtransition of modes
Journal of Energy 11
Bit file downloaded to FPGA board
Xilinx model based design using system generator
Netlist generation (VHDL file)
Altium designer software(VHDL file as a source file)
FPGA project design(open bus system design for SPI-ADC and
generated VHDL file as source file)
Compilation synthesis translate mappingplace and route time analysis and bit file generation
Figure 22 Step-by-step procedure for inverter gate pulse generationusing FPGA
IGBT module
Sine wave Triangular carrier
FPGA
S1 S2 S3 S4
LoadVDC
Figure 23 Schematic diagram for hardware setup
Figure 24 Load voltage and load current through RL load
Figure 25 Inverter output voltage and output gate pulses for singlephase bridge inverter
The tests concluded that detectionmethod has the follow-ing properties
(i) Detect grid disturbances event in just 3ms(ii) Accurate detection and quick transition maintain the
power quality and supply uninterrupted power tocritical load in case of grid outage
(iii) It is suitable for detection of steady state and transientstate disturbances both
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
References
[1] R Teodorescu F Iov and F Blaabjerg ldquoFlexible developmentand test system for 11kW wind turbinerdquo in Proceedings of theIEEE 34th Annual Power Electronics Specialists Conference pp67ndash72 June 2003
[2] N A Orlando M Liserre R A Mastromauro and ADellrsquoAquila ldquoA survey of control issues in pmsg-based smallwind-turbine systemsrdquo IEEE Transactions on Industrial Infor-matics vol 9 no 3 pp 1211ndash1221 2013
[3] R Teodorescu and F Blaabjerg ldquoFlexible control of small windturbines with grid failure detection operating in stand-aloneand grid-connected moderdquo IEEE Transactions on Power Elec-tronics vol 19 no 5 pp 1323ndash1332 2004
[4] B Singh andG K Kasal ldquoSolid state voltage and frequency con-troller for a stand alone wind power generating systemrdquo IEEETransactions on Power Electronics vol 23 no 3 pp 1170ndash11772008
[5] A Milczarek and M Malinowski ldquoMonitoring and controlalgorithms applied to small wind turbine with grid-connectedstand-alonemode of operationrdquoPrzeglad Elektrotechniczny vol88 pp 18ndash22 2012
[6] S I Jang and K H Kim ldquoAn islanding detection methodfor distributed generations using voltage unbalance and totalharmonic distortion of currentrdquo IEEE Transactions on PowerDelivery vol 19 no 2 pp 745ndash752 2004
[7] S I Jang and K H Kim ldquoA new islanding detection algorithmfor distributed generations interconnected with utility net-worksrdquo in Proceedings of the 8th IEE International Conference
12 Journal of Energy
on Developments in Power System Protection vol 2 pp 571ndash574IET April 2004
[8] S-I Jang and K-H Kim ldquoDevelopment of a logical rule-based islanding detection method for distributed resourcesrdquoin Proceedings of the IEEE Power Engineering Society WinterMeeting vol 2 pp 800ndash806 January 2002
[9] J W Resende M L R Chaves and C Penna ldquoIdentificationof power quality disturbances using the MATLAB wavelettransform toolboxrdquo in Proceedings of the 4th InternationalConference on Power Systems Transients (IPST rsquo01) Rio deJaneiro Brazil June 2001
[10] C Kocaman and M Ozdemir ldquoComparison of statisticalmethods and wavelet energy coefficients for determining twocommon PQ disturbances sag and wellrdquo in Proceedings of the6th International Conference on Electrical and Electronics Engi-neering (ELECO rsquo09) pp I80ndashI84 November 2009
[11] P K Ray N Kishor and S R Mohanty ldquoIslanding and powerquality disturbance detection in grid-connected hybrid powersystem using wavelet and S-transformrdquo IEEE Transactions onSmart Grid vol 3 no 3 pp 1082ndash1094 2012
[12] R Tirumala N Mohan and C Henze ldquoSeamless transfer ofgrid-connected PWM inverters between utility-interactive andstand-alone modesrdquo in Proceedings of the 17th Annual IEEEApplied Power Electronics Conference and Expositions (APECrsquo02) pp 1081ndash1086 March 2002
[13] A Timbus M Liserre R Teodorescu P Rodriguez and FBlaabjerg ldquoEvaluation of current controllers for distributedpower generation systemsrdquo IEEE Transactions on Power Elec-tronics vol 24 no 3 pp 654ndash664 2009
[14] S W Mohod and V A Mohan ldquoPower quality issues and itrsquosmitigation technique in wind energy generationrdquo in Proceedingsof the 13th International Conference on Harmonics and Qualityof Power (ICHQP rsquo08) Wollongong Australia October 2008
[15] C N Bhende S Mishra and S G Malla ldquoPermanent magnetsynchronous generator-based standalone wind energy supplysystemrdquo IEEE Transactions on Sustainable Energy vol 2 no 4pp 361ndash373 2011
[16] J M Carrasco L G Franquelo J T Bialasiewicz et al ldquoPower-electronic systems for the grid integration of renewable energysources a surveyrdquo IEEE Transactions on Industrial Electronicsvol 53 no 4 pp 1002ndash1016 2006
[17] C L Anooja andN Leena ldquoSingle phase shunt active filter withfuzzy controller for harmonic mitigationrdquo International Journalof Scientific amp Engineering Research vol 4 no 9 pp 445ndash4512013
[18] L G B Rolim D R Da Costa Jr and M Aredes ldquoAnalysisand software implementation of a robust synchronizing PLLcircuit based on the pq theoryrdquo IEEE Transactions on IndustrialElectronics vol 53 no 6 pp 1919ndash1926 2006
[19] B Jain T Jain S Jain and R K Nema ldquoPower quality improve-ment of an isolated wind power generation systemrdquo IOSRJournal of Electrical and Electronics Engineering vol 9 no 3 pp33ndash50 2014
[20] K Zhou and D Wang ldquoRelationship between space-vectormodulation and three-phase carrier-based PWM a compre-hensive analysisrdquo IEEE Transactions on Industrial Electronicsvol 49 no 1 pp 186ndash196 2002
[21] X Computation ldquoGetting started with the Xilinx Virtex-6FPGAMI-605 evaluation Kitrdquo 2010
TribologyAdvances in
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
AerospaceEngineeringHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
FuelsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal ofPetroleum Engineering
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Industrial EngineeringJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Power ElectronicsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Advances in
CombustionJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Renewable Energy
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
StructuresJournal of
International Journal of
RotatingMachinery
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
EnergyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporation httpwwwhindawicom
Journal ofEngineeringVolume 2014
Hindawi Publishing Corporation httpwwwhindawicom Volume 2014
International Journal ofPhotoenergy
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Nuclear InstallationsScience and Technology of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Solar EnergyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Wind EnergyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Nuclear EnergyInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
High Energy PhysicsAdvances in
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Journal of Energy 9
04 045 05 055 06 065 07 075 08 085 09
0100200300400
Time (s)In
vert
er v
olta
ges (
V)
minus100
minus200
minus300
minus400
ViaVibVic
Figure 16 Three-phase voltages at PCC
03 04 05 06 07 08 09 1 110
02040608
112141618
2
Time (s)
Tran
sitio
n of
mod
es
Circuit breaker status (onoff)
Gridconnected mode of WECS
Stand-alone mode of WECS
X = 048Y = 0
Figure 17 Transition of modes
04 045 05 055 06 065 07 075 08 085 0905
10152025303540
Time (s)
Wavelet energyLower threshold
Lower threshold
Wav
elet e
nerg
y ph
ase A
(V2)
Figure 18 Threshold settings
using FPGA with Altium NB 3000 Xilinx Spartan 3ANprocessor Step-by-step procedure for generating invertergate pulse is shown in Figure 22 XILINX ISE design suite145 is used formodel based design for PWMpulse generationfor single phase bridge inverter and Altium designer softwareis used for FPGA project design Number of steps has beenperformed for bit file generation using Altium design soft-ware It generates the programming file that is required for
downloading the design to the physical device A detailedprocedure for project design using FPGA is given in [21]
Schematic diagram to test SVPWM control method forgenerating gate pulses using FPGA is shown in Figure 23
Sine waveform and triangular carrier waveform of fre-quency 500Hz are given as input by ADC-SPI port andinverter gate pulses are obtained by user IO port which isshown in Figures 24 and 25 respectively
10 Journal of Energy
03 04 05 06 07 08 09 1 11
0
325
500
Time (s)
Volta
ge at
PCC
pha
se A
(V)
minus325
minus500
Via
(a)
03 04 05 06 07 08 09 1 112021222324252627282930
Time (s)
Wav
elet e
nerg
y PC
C ph
ase A
(V2)
X = 045009Y = 242683
EVa at PCC
(b)
Figure 19 (a) Voltage signal and (b) wavelet energy plot at PCC for phase A
03 04 05 06 07 08 09 1 11
0
325
500
Time (s)
Volta
ge at
PCC
pha
se B
(V)
minus325
minus500
Vib
(a)
03 04 05 06 07 08 09 1 1110
15
20
25
30
35
40
Time (s)
Wav
elet e
nerg
y PC
C ph
ase B
(V2)
EVa at PCC
(b)
Figure 20 (a) Voltage signal and (b) wavelet energy plot at PCC for phase B
03 04 05 06 07 08 09 1 11
0
325
500
Time (s)
Volta
ge at
PCC
pha
se C
(V)
minus325
minus500
Vic
(a)
03 04 05 06 07 08 09 1 1110
20
30
Time (s)
Wav
elet e
nerg
y PC
C ph
ase C
(V2)
EVc at PCC
(b)
Figure 21 (a) Voltage signal and (b) wavelet energy plot at PCC for phase C
7 Conclusions
The proposed method has been implemented for a 10 kWwind energy conversion system with rectifier-inverter inter-face which can work in grid connected mode as well as instand-alone mode The benefit of the used control schemeis that switching between the two operating modes happens
automatically on the basis of output of energy function Themost important feature of the system is its adaptability towork in both of the operatingmodes properly PLL is used forsynchronization in grid connected mode Simulation resultsdemonstrate the working and transition between the modesof WECS in only 3ms time and no transients appear duringtransition of modes
Journal of Energy 11
Bit file downloaded to FPGA board
Xilinx model based design using system generator
Netlist generation (VHDL file)
Altium designer software(VHDL file as a source file)
FPGA project design(open bus system design for SPI-ADC and
generated VHDL file as source file)
Compilation synthesis translate mappingplace and route time analysis and bit file generation
Figure 22 Step-by-step procedure for inverter gate pulse generationusing FPGA
IGBT module
Sine wave Triangular carrier
FPGA
S1 S2 S3 S4
LoadVDC
Figure 23 Schematic diagram for hardware setup
Figure 24 Load voltage and load current through RL load
Figure 25 Inverter output voltage and output gate pulses for singlephase bridge inverter
The tests concluded that detectionmethod has the follow-ing properties
(i) Detect grid disturbances event in just 3ms(ii) Accurate detection and quick transition maintain the
power quality and supply uninterrupted power tocritical load in case of grid outage
(iii) It is suitable for detection of steady state and transientstate disturbances both
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
References
[1] R Teodorescu F Iov and F Blaabjerg ldquoFlexible developmentand test system for 11kW wind turbinerdquo in Proceedings of theIEEE 34th Annual Power Electronics Specialists Conference pp67ndash72 June 2003
[2] N A Orlando M Liserre R A Mastromauro and ADellrsquoAquila ldquoA survey of control issues in pmsg-based smallwind-turbine systemsrdquo IEEE Transactions on Industrial Infor-matics vol 9 no 3 pp 1211ndash1221 2013
[3] R Teodorescu and F Blaabjerg ldquoFlexible control of small windturbines with grid failure detection operating in stand-aloneand grid-connected moderdquo IEEE Transactions on Power Elec-tronics vol 19 no 5 pp 1323ndash1332 2004
[4] B Singh andG K Kasal ldquoSolid state voltage and frequency con-troller for a stand alone wind power generating systemrdquo IEEETransactions on Power Electronics vol 23 no 3 pp 1170ndash11772008
[5] A Milczarek and M Malinowski ldquoMonitoring and controlalgorithms applied to small wind turbine with grid-connectedstand-alonemode of operationrdquoPrzeglad Elektrotechniczny vol88 pp 18ndash22 2012
[6] S I Jang and K H Kim ldquoAn islanding detection methodfor distributed generations using voltage unbalance and totalharmonic distortion of currentrdquo IEEE Transactions on PowerDelivery vol 19 no 2 pp 745ndash752 2004
[7] S I Jang and K H Kim ldquoA new islanding detection algorithmfor distributed generations interconnected with utility net-worksrdquo in Proceedings of the 8th IEE International Conference
12 Journal of Energy
on Developments in Power System Protection vol 2 pp 571ndash574IET April 2004
[8] S-I Jang and K-H Kim ldquoDevelopment of a logical rule-based islanding detection method for distributed resourcesrdquoin Proceedings of the IEEE Power Engineering Society WinterMeeting vol 2 pp 800ndash806 January 2002
[9] J W Resende M L R Chaves and C Penna ldquoIdentificationof power quality disturbances using the MATLAB wavelettransform toolboxrdquo in Proceedings of the 4th InternationalConference on Power Systems Transients (IPST rsquo01) Rio deJaneiro Brazil June 2001
[10] C Kocaman and M Ozdemir ldquoComparison of statisticalmethods and wavelet energy coefficients for determining twocommon PQ disturbances sag and wellrdquo in Proceedings of the6th International Conference on Electrical and Electronics Engi-neering (ELECO rsquo09) pp I80ndashI84 November 2009
[11] P K Ray N Kishor and S R Mohanty ldquoIslanding and powerquality disturbance detection in grid-connected hybrid powersystem using wavelet and S-transformrdquo IEEE Transactions onSmart Grid vol 3 no 3 pp 1082ndash1094 2012
[12] R Tirumala N Mohan and C Henze ldquoSeamless transfer ofgrid-connected PWM inverters between utility-interactive andstand-alone modesrdquo in Proceedings of the 17th Annual IEEEApplied Power Electronics Conference and Expositions (APECrsquo02) pp 1081ndash1086 March 2002
[13] A Timbus M Liserre R Teodorescu P Rodriguez and FBlaabjerg ldquoEvaluation of current controllers for distributedpower generation systemsrdquo IEEE Transactions on Power Elec-tronics vol 24 no 3 pp 654ndash664 2009
[14] S W Mohod and V A Mohan ldquoPower quality issues and itrsquosmitigation technique in wind energy generationrdquo in Proceedingsof the 13th International Conference on Harmonics and Qualityof Power (ICHQP rsquo08) Wollongong Australia October 2008
[15] C N Bhende S Mishra and S G Malla ldquoPermanent magnetsynchronous generator-based standalone wind energy supplysystemrdquo IEEE Transactions on Sustainable Energy vol 2 no 4pp 361ndash373 2011
[16] J M Carrasco L G Franquelo J T Bialasiewicz et al ldquoPower-electronic systems for the grid integration of renewable energysources a surveyrdquo IEEE Transactions on Industrial Electronicsvol 53 no 4 pp 1002ndash1016 2006
[17] C L Anooja andN Leena ldquoSingle phase shunt active filter withfuzzy controller for harmonic mitigationrdquo International Journalof Scientific amp Engineering Research vol 4 no 9 pp 445ndash4512013
[18] L G B Rolim D R Da Costa Jr and M Aredes ldquoAnalysisand software implementation of a robust synchronizing PLLcircuit based on the pq theoryrdquo IEEE Transactions on IndustrialElectronics vol 53 no 6 pp 1919ndash1926 2006
[19] B Jain T Jain S Jain and R K Nema ldquoPower quality improve-ment of an isolated wind power generation systemrdquo IOSRJournal of Electrical and Electronics Engineering vol 9 no 3 pp33ndash50 2014
[20] K Zhou and D Wang ldquoRelationship between space-vectormodulation and three-phase carrier-based PWM a compre-hensive analysisrdquo IEEE Transactions on Industrial Electronicsvol 49 no 1 pp 186ndash196 2002
[21] X Computation ldquoGetting started with the Xilinx Virtex-6FPGAMI-605 evaluation Kitrdquo 2010
TribologyAdvances in
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
AerospaceEngineeringHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
FuelsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal ofPetroleum Engineering
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Industrial EngineeringJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Power ElectronicsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Advances in
CombustionJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Renewable Energy
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
StructuresJournal of
International Journal of
RotatingMachinery
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
EnergyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporation httpwwwhindawicom
Journal ofEngineeringVolume 2014
Hindawi Publishing Corporation httpwwwhindawicom Volume 2014
International Journal ofPhotoenergy
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Nuclear InstallationsScience and Technology of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Solar EnergyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Wind EnergyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Nuclear EnergyInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
High Energy PhysicsAdvances in
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
10 Journal of Energy
03 04 05 06 07 08 09 1 11
0
325
500
Time (s)
Volta
ge at
PCC
pha
se A
(V)
minus325
minus500
Via
(a)
03 04 05 06 07 08 09 1 112021222324252627282930
Time (s)
Wav
elet e
nerg
y PC
C ph
ase A
(V2)
X = 045009Y = 242683
EVa at PCC
(b)
Figure 19 (a) Voltage signal and (b) wavelet energy plot at PCC for phase A
03 04 05 06 07 08 09 1 11
0
325
500
Time (s)
Volta
ge at
PCC
pha
se B
(V)
minus325
minus500
Vib
(a)
03 04 05 06 07 08 09 1 1110
15
20
25
30
35
40
Time (s)
Wav
elet e
nerg
y PC
C ph
ase B
(V2)
EVa at PCC
(b)
Figure 20 (a) Voltage signal and (b) wavelet energy plot at PCC for phase B
03 04 05 06 07 08 09 1 11
0
325
500
Time (s)
Volta
ge at
PCC
pha
se C
(V)
minus325
minus500
Vic
(a)
03 04 05 06 07 08 09 1 1110
20
30
Time (s)
Wav
elet e
nerg
y PC
C ph
ase C
(V2)
EVc at PCC
(b)
Figure 21 (a) Voltage signal and (b) wavelet energy plot at PCC for phase C
7 Conclusions
The proposed method has been implemented for a 10 kWwind energy conversion system with rectifier-inverter inter-face which can work in grid connected mode as well as instand-alone mode The benefit of the used control schemeis that switching between the two operating modes happens
automatically on the basis of output of energy function Themost important feature of the system is its adaptability towork in both of the operatingmodes properly PLL is used forsynchronization in grid connected mode Simulation resultsdemonstrate the working and transition between the modesof WECS in only 3ms time and no transients appear duringtransition of modes
Journal of Energy 11
Bit file downloaded to FPGA board
Xilinx model based design using system generator
Netlist generation (VHDL file)
Altium designer software(VHDL file as a source file)
FPGA project design(open bus system design for SPI-ADC and
generated VHDL file as source file)
Compilation synthesis translate mappingplace and route time analysis and bit file generation
Figure 22 Step-by-step procedure for inverter gate pulse generationusing FPGA
IGBT module
Sine wave Triangular carrier
FPGA
S1 S2 S3 S4
LoadVDC
Figure 23 Schematic diagram for hardware setup
Figure 24 Load voltage and load current through RL load
Figure 25 Inverter output voltage and output gate pulses for singlephase bridge inverter
The tests concluded that detectionmethod has the follow-ing properties
(i) Detect grid disturbances event in just 3ms(ii) Accurate detection and quick transition maintain the
power quality and supply uninterrupted power tocritical load in case of grid outage
(iii) It is suitable for detection of steady state and transientstate disturbances both
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
References
[1] R Teodorescu F Iov and F Blaabjerg ldquoFlexible developmentand test system for 11kW wind turbinerdquo in Proceedings of theIEEE 34th Annual Power Electronics Specialists Conference pp67ndash72 June 2003
[2] N A Orlando M Liserre R A Mastromauro and ADellrsquoAquila ldquoA survey of control issues in pmsg-based smallwind-turbine systemsrdquo IEEE Transactions on Industrial Infor-matics vol 9 no 3 pp 1211ndash1221 2013
[3] R Teodorescu and F Blaabjerg ldquoFlexible control of small windturbines with grid failure detection operating in stand-aloneand grid-connected moderdquo IEEE Transactions on Power Elec-tronics vol 19 no 5 pp 1323ndash1332 2004
[4] B Singh andG K Kasal ldquoSolid state voltage and frequency con-troller for a stand alone wind power generating systemrdquo IEEETransactions on Power Electronics vol 23 no 3 pp 1170ndash11772008
[5] A Milczarek and M Malinowski ldquoMonitoring and controlalgorithms applied to small wind turbine with grid-connectedstand-alonemode of operationrdquoPrzeglad Elektrotechniczny vol88 pp 18ndash22 2012
[6] S I Jang and K H Kim ldquoAn islanding detection methodfor distributed generations using voltage unbalance and totalharmonic distortion of currentrdquo IEEE Transactions on PowerDelivery vol 19 no 2 pp 745ndash752 2004
[7] S I Jang and K H Kim ldquoA new islanding detection algorithmfor distributed generations interconnected with utility net-worksrdquo in Proceedings of the 8th IEE International Conference
12 Journal of Energy
on Developments in Power System Protection vol 2 pp 571ndash574IET April 2004
[8] S-I Jang and K-H Kim ldquoDevelopment of a logical rule-based islanding detection method for distributed resourcesrdquoin Proceedings of the IEEE Power Engineering Society WinterMeeting vol 2 pp 800ndash806 January 2002
[9] J W Resende M L R Chaves and C Penna ldquoIdentificationof power quality disturbances using the MATLAB wavelettransform toolboxrdquo in Proceedings of the 4th InternationalConference on Power Systems Transients (IPST rsquo01) Rio deJaneiro Brazil June 2001
[10] C Kocaman and M Ozdemir ldquoComparison of statisticalmethods and wavelet energy coefficients for determining twocommon PQ disturbances sag and wellrdquo in Proceedings of the6th International Conference on Electrical and Electronics Engi-neering (ELECO rsquo09) pp I80ndashI84 November 2009
[11] P K Ray N Kishor and S R Mohanty ldquoIslanding and powerquality disturbance detection in grid-connected hybrid powersystem using wavelet and S-transformrdquo IEEE Transactions onSmart Grid vol 3 no 3 pp 1082ndash1094 2012
[12] R Tirumala N Mohan and C Henze ldquoSeamless transfer ofgrid-connected PWM inverters between utility-interactive andstand-alone modesrdquo in Proceedings of the 17th Annual IEEEApplied Power Electronics Conference and Expositions (APECrsquo02) pp 1081ndash1086 March 2002
[13] A Timbus M Liserre R Teodorescu P Rodriguez and FBlaabjerg ldquoEvaluation of current controllers for distributedpower generation systemsrdquo IEEE Transactions on Power Elec-tronics vol 24 no 3 pp 654ndash664 2009
[14] S W Mohod and V A Mohan ldquoPower quality issues and itrsquosmitigation technique in wind energy generationrdquo in Proceedingsof the 13th International Conference on Harmonics and Qualityof Power (ICHQP rsquo08) Wollongong Australia October 2008
[15] C N Bhende S Mishra and S G Malla ldquoPermanent magnetsynchronous generator-based standalone wind energy supplysystemrdquo IEEE Transactions on Sustainable Energy vol 2 no 4pp 361ndash373 2011
[16] J M Carrasco L G Franquelo J T Bialasiewicz et al ldquoPower-electronic systems for the grid integration of renewable energysources a surveyrdquo IEEE Transactions on Industrial Electronicsvol 53 no 4 pp 1002ndash1016 2006
[17] C L Anooja andN Leena ldquoSingle phase shunt active filter withfuzzy controller for harmonic mitigationrdquo International Journalof Scientific amp Engineering Research vol 4 no 9 pp 445ndash4512013
[18] L G B Rolim D R Da Costa Jr and M Aredes ldquoAnalysisand software implementation of a robust synchronizing PLLcircuit based on the pq theoryrdquo IEEE Transactions on IndustrialElectronics vol 53 no 6 pp 1919ndash1926 2006
[19] B Jain T Jain S Jain and R K Nema ldquoPower quality improve-ment of an isolated wind power generation systemrdquo IOSRJournal of Electrical and Electronics Engineering vol 9 no 3 pp33ndash50 2014
[20] K Zhou and D Wang ldquoRelationship between space-vectormodulation and three-phase carrier-based PWM a compre-hensive analysisrdquo IEEE Transactions on Industrial Electronicsvol 49 no 1 pp 186ndash196 2002
[21] X Computation ldquoGetting started with the Xilinx Virtex-6FPGAMI-605 evaluation Kitrdquo 2010
TribologyAdvances in
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
AerospaceEngineeringHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
FuelsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal ofPetroleum Engineering
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Industrial EngineeringJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Power ElectronicsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Advances in
CombustionJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Renewable Energy
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
StructuresJournal of
International Journal of
RotatingMachinery
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
EnergyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporation httpwwwhindawicom
Journal ofEngineeringVolume 2014
Hindawi Publishing Corporation httpwwwhindawicom Volume 2014
International Journal ofPhotoenergy
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Nuclear InstallationsScience and Technology of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Solar EnergyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Wind EnergyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Nuclear EnergyInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
High Energy PhysicsAdvances in
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Journal of Energy 11
Bit file downloaded to FPGA board
Xilinx model based design using system generator
Netlist generation (VHDL file)
Altium designer software(VHDL file as a source file)
FPGA project design(open bus system design for SPI-ADC and
generated VHDL file as source file)
Compilation synthesis translate mappingplace and route time analysis and bit file generation
Figure 22 Step-by-step procedure for inverter gate pulse generationusing FPGA
IGBT module
Sine wave Triangular carrier
FPGA
S1 S2 S3 S4
LoadVDC
Figure 23 Schematic diagram for hardware setup
Figure 24 Load voltage and load current through RL load
Figure 25 Inverter output voltage and output gate pulses for singlephase bridge inverter
The tests concluded that detectionmethod has the follow-ing properties
(i) Detect grid disturbances event in just 3ms(ii) Accurate detection and quick transition maintain the
power quality and supply uninterrupted power tocritical load in case of grid outage
(iii) It is suitable for detection of steady state and transientstate disturbances both
Conflict of Interests
The authors declare that there is no conflict of interestsregarding the publication of this paper
References
[1] R Teodorescu F Iov and F Blaabjerg ldquoFlexible developmentand test system for 11kW wind turbinerdquo in Proceedings of theIEEE 34th Annual Power Electronics Specialists Conference pp67ndash72 June 2003
[2] N A Orlando M Liserre R A Mastromauro and ADellrsquoAquila ldquoA survey of control issues in pmsg-based smallwind-turbine systemsrdquo IEEE Transactions on Industrial Infor-matics vol 9 no 3 pp 1211ndash1221 2013
[3] R Teodorescu and F Blaabjerg ldquoFlexible control of small windturbines with grid failure detection operating in stand-aloneand grid-connected moderdquo IEEE Transactions on Power Elec-tronics vol 19 no 5 pp 1323ndash1332 2004
[4] B Singh andG K Kasal ldquoSolid state voltage and frequency con-troller for a stand alone wind power generating systemrdquo IEEETransactions on Power Electronics vol 23 no 3 pp 1170ndash11772008
[5] A Milczarek and M Malinowski ldquoMonitoring and controlalgorithms applied to small wind turbine with grid-connectedstand-alonemode of operationrdquoPrzeglad Elektrotechniczny vol88 pp 18ndash22 2012
[6] S I Jang and K H Kim ldquoAn islanding detection methodfor distributed generations using voltage unbalance and totalharmonic distortion of currentrdquo IEEE Transactions on PowerDelivery vol 19 no 2 pp 745ndash752 2004
[7] S I Jang and K H Kim ldquoA new islanding detection algorithmfor distributed generations interconnected with utility net-worksrdquo in Proceedings of the 8th IEE International Conference
12 Journal of Energy
on Developments in Power System Protection vol 2 pp 571ndash574IET April 2004
[8] S-I Jang and K-H Kim ldquoDevelopment of a logical rule-based islanding detection method for distributed resourcesrdquoin Proceedings of the IEEE Power Engineering Society WinterMeeting vol 2 pp 800ndash806 January 2002
[9] J W Resende M L R Chaves and C Penna ldquoIdentificationof power quality disturbances using the MATLAB wavelettransform toolboxrdquo in Proceedings of the 4th InternationalConference on Power Systems Transients (IPST rsquo01) Rio deJaneiro Brazil June 2001
[10] C Kocaman and M Ozdemir ldquoComparison of statisticalmethods and wavelet energy coefficients for determining twocommon PQ disturbances sag and wellrdquo in Proceedings of the6th International Conference on Electrical and Electronics Engi-neering (ELECO rsquo09) pp I80ndashI84 November 2009
[11] P K Ray N Kishor and S R Mohanty ldquoIslanding and powerquality disturbance detection in grid-connected hybrid powersystem using wavelet and S-transformrdquo IEEE Transactions onSmart Grid vol 3 no 3 pp 1082ndash1094 2012
[12] R Tirumala N Mohan and C Henze ldquoSeamless transfer ofgrid-connected PWM inverters between utility-interactive andstand-alone modesrdquo in Proceedings of the 17th Annual IEEEApplied Power Electronics Conference and Expositions (APECrsquo02) pp 1081ndash1086 March 2002
[13] A Timbus M Liserre R Teodorescu P Rodriguez and FBlaabjerg ldquoEvaluation of current controllers for distributedpower generation systemsrdquo IEEE Transactions on Power Elec-tronics vol 24 no 3 pp 654ndash664 2009
[14] S W Mohod and V A Mohan ldquoPower quality issues and itrsquosmitigation technique in wind energy generationrdquo in Proceedingsof the 13th International Conference on Harmonics and Qualityof Power (ICHQP rsquo08) Wollongong Australia October 2008
[15] C N Bhende S Mishra and S G Malla ldquoPermanent magnetsynchronous generator-based standalone wind energy supplysystemrdquo IEEE Transactions on Sustainable Energy vol 2 no 4pp 361ndash373 2011
[16] J M Carrasco L G Franquelo J T Bialasiewicz et al ldquoPower-electronic systems for the grid integration of renewable energysources a surveyrdquo IEEE Transactions on Industrial Electronicsvol 53 no 4 pp 1002ndash1016 2006
[17] C L Anooja andN Leena ldquoSingle phase shunt active filter withfuzzy controller for harmonic mitigationrdquo International Journalof Scientific amp Engineering Research vol 4 no 9 pp 445ndash4512013
[18] L G B Rolim D R Da Costa Jr and M Aredes ldquoAnalysisand software implementation of a robust synchronizing PLLcircuit based on the pq theoryrdquo IEEE Transactions on IndustrialElectronics vol 53 no 6 pp 1919ndash1926 2006
[19] B Jain T Jain S Jain and R K Nema ldquoPower quality improve-ment of an isolated wind power generation systemrdquo IOSRJournal of Electrical and Electronics Engineering vol 9 no 3 pp33ndash50 2014
[20] K Zhou and D Wang ldquoRelationship between space-vectormodulation and three-phase carrier-based PWM a compre-hensive analysisrdquo IEEE Transactions on Industrial Electronicsvol 49 no 1 pp 186ndash196 2002
[21] X Computation ldquoGetting started with the Xilinx Virtex-6FPGAMI-605 evaluation Kitrdquo 2010
TribologyAdvances in
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
AerospaceEngineeringHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
FuelsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal ofPetroleum Engineering
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Industrial EngineeringJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Power ElectronicsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Advances in
CombustionJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Renewable Energy
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
StructuresJournal of
International Journal of
RotatingMachinery
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
EnergyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporation httpwwwhindawicom
Journal ofEngineeringVolume 2014
Hindawi Publishing Corporation httpwwwhindawicom Volume 2014
International Journal ofPhotoenergy
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Nuclear InstallationsScience and Technology of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Solar EnergyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Wind EnergyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Nuclear EnergyInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
High Energy PhysicsAdvances in
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
12 Journal of Energy
on Developments in Power System Protection vol 2 pp 571ndash574IET April 2004
[8] S-I Jang and K-H Kim ldquoDevelopment of a logical rule-based islanding detection method for distributed resourcesrdquoin Proceedings of the IEEE Power Engineering Society WinterMeeting vol 2 pp 800ndash806 January 2002
[9] J W Resende M L R Chaves and C Penna ldquoIdentificationof power quality disturbances using the MATLAB wavelettransform toolboxrdquo in Proceedings of the 4th InternationalConference on Power Systems Transients (IPST rsquo01) Rio deJaneiro Brazil June 2001
[10] C Kocaman and M Ozdemir ldquoComparison of statisticalmethods and wavelet energy coefficients for determining twocommon PQ disturbances sag and wellrdquo in Proceedings of the6th International Conference on Electrical and Electronics Engi-neering (ELECO rsquo09) pp I80ndashI84 November 2009
[11] P K Ray N Kishor and S R Mohanty ldquoIslanding and powerquality disturbance detection in grid-connected hybrid powersystem using wavelet and S-transformrdquo IEEE Transactions onSmart Grid vol 3 no 3 pp 1082ndash1094 2012
[12] R Tirumala N Mohan and C Henze ldquoSeamless transfer ofgrid-connected PWM inverters between utility-interactive andstand-alone modesrdquo in Proceedings of the 17th Annual IEEEApplied Power Electronics Conference and Expositions (APECrsquo02) pp 1081ndash1086 March 2002
[13] A Timbus M Liserre R Teodorescu P Rodriguez and FBlaabjerg ldquoEvaluation of current controllers for distributedpower generation systemsrdquo IEEE Transactions on Power Elec-tronics vol 24 no 3 pp 654ndash664 2009
[14] S W Mohod and V A Mohan ldquoPower quality issues and itrsquosmitigation technique in wind energy generationrdquo in Proceedingsof the 13th International Conference on Harmonics and Qualityof Power (ICHQP rsquo08) Wollongong Australia October 2008
[15] C N Bhende S Mishra and S G Malla ldquoPermanent magnetsynchronous generator-based standalone wind energy supplysystemrdquo IEEE Transactions on Sustainable Energy vol 2 no 4pp 361ndash373 2011
[16] J M Carrasco L G Franquelo J T Bialasiewicz et al ldquoPower-electronic systems for the grid integration of renewable energysources a surveyrdquo IEEE Transactions on Industrial Electronicsvol 53 no 4 pp 1002ndash1016 2006
[17] C L Anooja andN Leena ldquoSingle phase shunt active filter withfuzzy controller for harmonic mitigationrdquo International Journalof Scientific amp Engineering Research vol 4 no 9 pp 445ndash4512013
[18] L G B Rolim D R Da Costa Jr and M Aredes ldquoAnalysisand software implementation of a robust synchronizing PLLcircuit based on the pq theoryrdquo IEEE Transactions on IndustrialElectronics vol 53 no 6 pp 1919ndash1926 2006
[19] B Jain T Jain S Jain and R K Nema ldquoPower quality improve-ment of an isolated wind power generation systemrdquo IOSRJournal of Electrical and Electronics Engineering vol 9 no 3 pp33ndash50 2014
[20] K Zhou and D Wang ldquoRelationship between space-vectormodulation and three-phase carrier-based PWM a compre-hensive analysisrdquo IEEE Transactions on Industrial Electronicsvol 49 no 1 pp 186ndash196 2002
[21] X Computation ldquoGetting started with the Xilinx Virtex-6FPGAMI-605 evaluation Kitrdquo 2010
TribologyAdvances in
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
AerospaceEngineeringHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
FuelsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal ofPetroleum Engineering
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Industrial EngineeringJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Power ElectronicsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Advances in
CombustionJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Renewable Energy
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
StructuresJournal of
International Journal of
RotatingMachinery
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
EnergyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporation httpwwwhindawicom
Journal ofEngineeringVolume 2014
Hindawi Publishing Corporation httpwwwhindawicom Volume 2014
International Journal ofPhotoenergy
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Nuclear InstallationsScience and Technology of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Solar EnergyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Wind EnergyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Nuclear EnergyInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
High Energy PhysicsAdvances in
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
TribologyAdvances in
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
International Journal of
AerospaceEngineeringHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
FuelsJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal ofPetroleum Engineering
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Industrial EngineeringJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Power ElectronicsHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Advances in
CombustionJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Renewable Energy
Submit your manuscripts athttpwwwhindawicom
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
StructuresJournal of
International Journal of
RotatingMachinery
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
EnergyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporation httpwwwhindawicom
Journal ofEngineeringVolume 2014
Hindawi Publishing Corporation httpwwwhindawicom Volume 2014
International Journal ofPhotoenergy
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Nuclear InstallationsScience and Technology of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Solar EnergyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Wind EnergyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Nuclear EnergyInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
High Energy PhysicsAdvances in
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014