Stefan Kämpfer, ABB AG Applications for smart secondary ... · PDF fileStefan Kämpfer, ABB AG. ... MV LV Measurement of non-electrical values LV Measurement MV Measurement Remote

Applications for smart secondarysubstations based on selected pilotprojects

Stefan Kämpfer, ABB AG

Content

§ Use cases for smart secondary substations

§ Modules and packages

§ Case study RiesLing

§ Automation packages

§ MV monitoring

§ Optimized voltage control

§ Smart planning process

§ Case study Smart Area Aachen

§ Voltage observation in the LV grid

§ Summary

October 2, 2014 | Slide 2© ABB Group

Use cases for smart secondary substationsDrivers for automation solutions


Optimizationof assets andgrid operation

Requiredautomationfunctions

• Measurement

• Faultdetection

• Remotecontrol

• Voltageregulation

• Communicat-ion

Voltagecontrol andoptimization

Increasequalityof supply

§ Monitoring and analysis of distribution grid capacity

§ Identification and management of congestions

§ Optimized planning of operation tasks

§ Coordinated voltage control in MV

§ Voltage control in LV grids

§ Faster fault localization, isolation and restoration

§ Documentation of quality

Stepwise approach for smart distribution gridsAnalysisè Monitoringè Control

Analysis

Monitoring

Control

Topology of MV grid § Evaluation of optimal deploymentof grid automation

§ Classification of LV grids withvoltage problems

Simple network structurefeatures of LV grid

Voltage and currentmeasurements

Remote controlled switches

Voltage regulator

§ Observation of voltage andevaluation for further upgrade

§ Fault localization

§ Optimized voltage control§ Management of congestions§ Fault isolation and restoration

Fault detection

Packages for stepwise automationModules for smart secondary substations


Secondary substation

Communication

Network controlsystem

Load breaking switches with motor drive

Voltage regulator

Primary equipment:

UPSMV

LV

Measurementof non-electrical

values

LVMeasurement

MVMeasurement

Remote control

Case study RiesLingModular, scalable automation solution

x

Customers & partners

§ EnBW ODR, EnBW REG, T-Systems

ABB’s response – Smart grid scope

§ ABB remote control and measuring equipment forpower monitoring, voltage control and fault detection

§ Predictive network control

§ Secure, surveilled communication

Objectives

§ Development and implementation of monitoring andautomation equipment in secondary substations forsafe, reliable and economical operation ofdistribution grids

Benefits

§ Modular, scalable solutions for secure, economicaland predictive distribution grid operation

© ABB GroupOctober 2, 2014 | Slide 6

intelligent secondarysubstation inWechingen

Case study RiesLingAutomation packages


Monitoring:§ Measurement of IMV

§ Measurement of VLV, ILV, PLV, QLV

§ Calculation or direct measurement of VMV,PMV, QMV

§ Directional fault detectionUninterruptible power supply:§ 15 minutes

Control option:§ Remote controllable load breaking switches

Voltage regulation option:§ Power electronic regulation PCS100 AVR

Uninterruptible power supply:§ 15 minutes§ 1 switching operation minimum


RTU

Communication

Network controlsystem

UPSMV

LV


RTU

Communication

Network controlsystemRemote controllable switch

Voltage regulator

Primary equipment:

UPSMV

LV

LVMeasurement

MVMeasurement

MVMeasurement

LVMeasurement

Case study RiesLingApplication examples


Case study RiesLing

Direct sensor measurement

§ Capacitve divider and rogowski coil

§ Directional fault detection

§ For new RMUs

§ Retrofit of gas insulated RMUs

MV calculation vs. direct sensor measurement


LV

calculated

VMV

PMV

QMV

MV

measured

VMV

PMV

QMV

Calculation of MV values

§ No direct MV measurement necessary

§ Based on transformer model

§ Directional fault detection

§ Retrofit of secondary substations

Case study RiesLingResults of MV calculation


Volta

ge[p

.U.]

Dev

iatio

n[%

]

1.03

1.02

1.01

0

0.1

-0.2

-0.3

-0.1

Time [h]

§ V measured V calculated

Case study RiesLing

Voltage control

1. Setpoint from network controlcenter

2. Based on solar radiation (nottested)

3. Based on distributed LVmeasurements, wide arearegulation

4. Load flow dependentsetpoint

Voltage control concepts


LV

MV

Case study RiesLing

Fixed setpoint Wide area regulation Load flow dependent setpoint

Exploitation of voltage band

- ++ +

Efforts

+ - o

Results of voltage control


Optimized voltage control can enable a better exploitation of the available voltage bandwidth

Load flow dependent setpoint is best compomise between efforts and exploitation

Smart PlanningProcess for evaluation of „critical grids“

© ABB AGOctober 2, 2014 | Slide 13

Evaluation process is separated in three process phases inorder to handle massproblems in low voltage

Only grids evaluated as critical reach the next process phase

Installationof voltageregulator

Monitoringin secondarysubstation

Classification oflocal grids

Smart PlanningStep 1


§ Classification based on simple grid structure features and currentpenetration of grid with photovolatic

0%

20%

40%

60%

80%

100%

120%

140%

160%

180%

200%

220%

240%

260%

280%

300%

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26

PV-p

enet

ratio

n

Residential development

critical area

uncritical area

x Local grid

Grid structurefeatures:§ Local grid radius§ Number of

residential units§ Number of

residentialconnections

§ Type oftransformer

§ Standard cabletype

§ Number of cabledistribution units

§ …






§ Determination of reference based on load flow calculation with NEPLAN® Þ„fingerprint“ of grid

§ Upgrading the secondary substation with automation to an intelligentsecondary substation and measuring of power and voltage

meshed local gridMVLV

DVref

S PPV,ref

PTr,ref

PTr

VLV,SS

Local grid getsconspicuous inclassification phase Installation

of voltageregulator



Installation ofcontrollabledistribution

transformers

Monitoring ofsecondarysubstation



Classification of localgrids

§ Grid with voltage range deviations:ð voltage regulator or controllable distribution transformer andð continuated monitoring of grid for possible voltage range

deviations




Case study: Smart Area AachenIntelligent secondary substation

x

Customers & partners§ Stadtwerke Aachen, FGH, TU Dortmund

ABB’s response – Smart grid scope§ Analysis of intelligent secondary substation use cases

§ Identification & evaluation of secondary substationconcepts and new voltage regulation algorithms

§ Evaluation of new fault detection methods

Objectives§ Increase distribution grid stability and observability

while improving supply quality

§ Development of long term cost effective distributionautomation technology and products

Benefits§ Fully tested products and solutions for individual,

scalable and economical distribution grid automationtasks, e.g. for measurement, voltage control and FDIR

Figure:Automation package

© ABB GroupOctober 2, 2014 | Slide 17

Case study: Smart Area AachenVoltage observation for LV grids


VLV,SS

Duref,1

Pref,1

Duref,2

Pref,2Pref,3

MV

Duref,3 Fing

erpr

int

IFeeders

Measurements

Vcrit1, Vcrit2, Vcrit3

à VmaxLV, VminLV

partly meshed LV grid

PFeeders

Estimation of critical voltages in the LV grid without extensive ICT

Summary

Efficient automation of distribution grids with smartsecondary substations requires:

§ Integrated approach between planning and operation:analysisà monitoringà control

§ Increased grid observability based on new measurementconcepts

§ New control and regulation options

§ Modular solution packages adopted to use cases


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Stefan Kämpfer, ABB AG Applications for smart secondary ... · PDF fileStefan Kämpfer, ABB AG. ... MV LV Measurement of non-electrical values LV Measurement MV Measurement Remote