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Thesis Title (English)
Student Name
THESIS SUBMITTED IN FULFILMENT OF THE DEGREE OF
DOCTOR OF PHILOSOPHY
FACULTY OF ENGINEERING AND BUILT ENVIROMENT
UNIVERSITI KEBANGSAAN MALAYSIA
BANGI
2011
ii
Thesis Title (Malay)
Student Name
TESIS YANG DIKEMUKAKAN UNTUK MEMPEROLEH IJAZAH
DOKTOR FALSAFAH
FAKULTI KEJURUTERAAN DAN ALAM BINA
UNIVERSITI KEBANGSAAN MALAYSIA
BANGI
2011
iii
DECLARATION
I hereby declare that the work in this thesis is my own except for quotations and
summaries which have been duly acknowledged.
Date Student Name
Student Number
iv
ACKNOWLEDGMENTS
First and foremost praise be to Almighty Allah for all his blessings for giving me
patience and good health throughout the duration of this PhD research.
I am very fortunate to have Professor Dr. … as a research supervisor.
Also, I would like to express my high appreciation to my co-supervisor Dr. …
Moreover, I am grateful to
I would like to thank all post graduate students of UKM power research group
for their help, friendship, and creating a pleasant working environment throughout my
years in UKM.
To my dearest wife
Last but not least, I gratefully acknowledge financial support provided by
UKM under grant numbers
v
ABSTRACT
The recent changes in utility structures, development in renewable technologies and
increased
vi
ABSTRAK
Perubahan terkini dalam struktur utiliti, kemajuan teknologi boleh diperbaharui dan
peningkatan
vii
TABLE OF CONTENTS
Page
DECLARATION iii
ACKNOWLEDGMENTS iv
ABSTRACT v
ABSTRAK vi
CONTENTS vii
LIST OF TABLES x
LIST OF FIGURES xii
LIST OF ABBREVIATIONS xv
LIST OF SYMBOLS xvi
CHAPTER I INTRODUCTION
1.1 Research Background 1
1.2 Problem Statement 1
1.3 Objectives of Research and Scope of Works 1
CHAPTER II LITERATURE REVIEW
2.1 Distributed Generation 2
2.1.1 Distributed Generation 2
2.1.2 Effect of Distributed Generation 2
2.2 Protection Issues for Distribution Networks
2.2.1 Short Circuit Currents 3
2.2.2 Power Flow 3
2.2.3 Overcurrent Protection 3
2.3 Distribution Systems 3
2.3.1 Review of Distribution Networks 3
2.4 Review of Distributed Generation 3
2.4.1 Distribution System Protection 3
viii
2.4.2 Review of Protection Methods 3
2.5 Chapter Summary 4
CHAPTER III DISTRIBUTION NETWORK
3.1 Introduction 5
3.2 Radial Basis Function Neural Network 5
3.3 Distribution Network 5
3.3.1 Network 5
3.3.2 Classification 5
3.3.3 Location 5
3.3.4 Determination 6
3.3.5 Restoration 6
3.3.6 Generation 6
3.4 Chapter Summary 6
CHAPTER IV PROTECTION STATEGY
4.1 Introduction 7
4.2 Protection 7
4.2.1 Main and Backup 7
4.2.2 Device 7
4.3 Algorithm 7
4.4 Proposed Strategy 7
4.4.1 Main Algorithm 8
4.4.2 Backup Algorithm 8
4.5 Chapter Summary 8
CHAPTER V RESULTS AND DISCUSSION
5.1 Results of 9
5.1.1 14 Bus Test System 9
5.1.2 22 Bus Test System 10
5.1.3 32 Bus Test System 10
5.1.4 Results for Location 11
5.2 Results of Strategy 11
5.2.1 Results of Strategy for the 14 bus test system 11
ix
5.2.2 Results of Strategy for the 22 bus test system 11
5.2.3 Results of Strategy for the 32 bus test system 11
5.3 Chapter Summary 3
CHAPTER VI CONCLUSION AND FUTURE WORKS
6.1 Conclusion 12
6.2 Significant Contributions of the Research 12
6.3 Suggestions for Future Work 12
REFERENCES 4
APPENDIXES
x
LIST OF TABLES
Table Number Page
2.1 Summary of technologies 3
3.1 Fault Type Data 4
4.1 Settings of OC relays 4
4.2 The expected relay in various lines 5
5.1 14-bus test system 6
xi
LIST OF FIGURES
Figure Number Page
1.1 Electric power system 1
2.1 Short-circuit current 2
2.2 Network equivalent circuit of Figure 2.1 3
2.3 Thevenin equivalent circuit 4
xii
LIST OF ABBREVIATIONS
DG: Distributed Generation
MLPNN : Multi Layer Perceptron Neural Network
RBFNN: Radial Basis Function Neural Network
W: Watt
kW: kiloWatt
MW: Mega Watt
AC: Alternating current
DC: Direct Current
km: Kilometer
kV: Kilo Volt
MVA: Mega Volte Ampere
MSE: Mean Square Error
OC: Overcurrent Relay
xiii
LIST OF SYMBOLS
l: Feeder Length
d: Distance
dtot: Total Feeder Length
Z : Impedance
LZ : Total Line-Impedance
DGZ : The DG Impedance
SZ : The Source Impedance
SU : Voltages of the Main Source
DGU : Voltages of DG Unit
I : Current
SCI : Short Circuit Current
SSCI , : The Grid Contribution of the Short Circuit Current
CHAPTER I
1 INTRODUCTION
1.1 RESEARCH BACKGROUND
In the recent years, the electrical utilities are undergoing rapid restructuring process
worldwide.
In the recent years, the utilities are undergoing rapid restructuring process
worldwide.
1.2 PROBLEM STATEMENT
As a high penetration
1.3 OBJECTIVES OF RESEARCH AND SCOPE OF WORKS
This research focuses on the development of new techniques for
CHAPTER II
2 LITERATURE REVIEW
2.1 DISTRIBUTED GENERATION
Typically, distribution systems
2.1.1 Distributed Generation
Distributed generation can be defined as the generation of electricity by facilities that
are sufficiently smaller than
2.1.2 Effect of Distributed Generation
Defining the mesh currents 1I and 2I and applying the Kirchhoff’s voltage law for
SU and DGU , we get,
2
1.).1().1(
).1(
I
I
ZlZZl
ZlZZ
U
U
LDGL
LLS
DG
S (2.2)
where 1I is the grid contribution of the short circuit current, SSCI ,
, and 2I is
the DG-contribution of the short circuit current, DGSCI ,
, to the total short circuit
current.
2.2 PROTECTION DISTRIBUTION NETWORKS IN THE PRESENCE OF
DISTRIBUTED GENERATION
Conflicts between DG unit and
3
2.2.1 Short Circuit Currents
The fault contribution from a
2.2.2 Power Flow
Radial distribution networks are usually designed for unidirectional
Power flow
2.2.3 Protection
Overcurrent protection schemes for radial distribution systems are designed based on
the available
2.3 DISTRIBUTION SYSTEMS
Electric power systems that are
2.3.1 Review of Methods in Distribution Networks with Distributed Generation
Fault location in a distribution system
2.4 REVIEW OF PROTECTION METHODS
The basis in designing
2.4.1 Distribution System Protection
The purpose of distribution
2.4.2 Review of Protection Coordination Methods
With the presence
4
I. Adaptive Protection Scheme for Distribution Networks
Adaptive protection is a relatively new which is defined as the ability of a protection
system to automatically
Adaptive protection is a relatively new which is defined as the ability of a
protection system to automatically
II. Multi-Agent Protection Scheme for Distribution Networks
An agent is a computer system that is capable of performing autonomous actions in
this environment to meet its design objectives
2.5 CHAPTER SUMMARY
This chapter presents an introduction of
CHAPTER III
3 AUTOMATED FAULT DIAGNOSIS IN A DISTRIBUTION NETWORK
WITH DISTRIBUTED GENERATION
3.1 INTRODUCTION
This chapter describes the proposed
3.2 RADIAL BASIS FUNCTION NEURAL NETWORK
The RBFNN is a feed-forward neural network consisting of three layers, namely, an
input layer
3.3 DISTRIBUTION NETWORK
An important consideration in
3.3.1 Network
Prior to the RBFNN implementation,
Adaptive protection is a relatively new which is defined as the ability of a
protection system to automatically
3.3.2 Classification
The second step is to identify
3.3.3 Location
After identifying the fault type,
6
3.3.4 Determination
After identifying the fault
3.3.5 Restoration
Once the faulty line
3.3.6 Generation
Before executing the fault
3.4 CHAPTER SUMMARY
An automated method have been developed
CHAPTER IV
4 PROTECTION COORDINATION STATEGY IN A DISTRIBUTION
NETWORK WITH DISTRIBUTED GENERATION
4.1 INTRODUCTION
This chapter describes a novel protection
4.2 PROTECTION FUNDAMENTAL
Protective devices are operated to isolate
4.2.1 Main and Backup
Main protection should
4.2.2 Device
The protection coordination study involves the preparation of the one-line diagram of
a power system,
4.3 ALGORITHM
The algorithm which is based on heuristics is an optimal search method satisfied.
4.4 PROPOSED STRATEGY
It is difficult to coordinate the
8
4.4.1 Main Protection Algorithm
After identifying the
4.4.2 Backup Algorithm
In case of misoperation of
4.5 CHAPTER SUMMARY
A new protection coordination strategy in a distribution network with DG units has
been presented by
9
CHAPTER V
5 RESULTS AND DISCUSSION
5.1 RESULTS OF FAULT DIAGNOSIS USING RBFNN
The proposed fault diagnosis method using
5.1.1 Results for the 14 Bus Test System
To verify the performance and accuracy of the proposed
I. Network
Before implementing fault
II. Generation and
The training and testing data
III. Results of Classification
To identify the various fault types
IV. Results of Location
After recognizing the fault type,
V. Results of Isolation
After identifying the fault type
10
VI. Results of Restoration
Once the faulty line and the
5.1.2 Results for the 22 Bus Test System
A 22 bus, 20 kV distribution network with 2 DG units shown in Figure 5.3 is selected
as the test system to verify the performance and accuracy of the proposed
I. Network
The 22 bus test system is divided into three zones as shown in Error! Reference
source not found.. Zones 2 and 3 have one
II. Generation
The training data
III. Results of Diagnosis
Error! Reference source not found. shows the
5.1.3 Results for the 32 Bus Test System
To verify the performance and accuracy of the proposed fault
I. Network
After performing the network zoning procedure,
II. Generation
The training data
III. Diagnosis Results
The fault diagnosis results
63
11
5.1.4 Comparison between RBFNN and MLPNN Results
To further evaluate the effectiveness of
5.2 RESULTS OF STRATEGY
This section presents the results of the proposed
5.2.1 Results of Strategy for the 14 bus test system
To verify the performance and accuracy of the proposed
5.2.2 Results of Strategy for the 22 bus test system
The proposed
5.2.3 Results of Strategy for the 32 bus test system
To verify the performance and accuracy of the proposed
5.3 CHAPTER SUMMARY
In this chapter,
77
CHAPTER VI
6 CONCLUSION AND FUTURE WORKS
6.1 CONCLUSION
In this thesis,
To achieve the first objective of the research which is to the impact of
To address the second objective of the research which is to develop an
automated
The third objective is to develop a new
6.2 SIGNIFICANT CONTRIBUTIONS OF THE RESEARCH
The major contributions of this thesis are summarized as follows:
i. The proposed method
ii. The use
iii. The proposed method
6.3 SUGGESTIONS FOR FUTURE WORK
The proposed techniques for
i. To explore the use of
ii. To implement feature selection
REFERENCES
A Mohamed & M Mazumder 1999. A neural network approach to fault diagnosis in a
distribution system. International Journal of Power & Energy Systems 19 (2):
129-134.
Abdelaziz, A. Y., Talaat, H. E. A., Nosseir, A. I. & Hajjar, A. A. 2002. An adaptive
protection scheme for optimal coordination of overcurrent relays. Electric
Power Systems Research 61(1): 1-9.
Baghzouz, Y. 2005. Voltage Regulation and Overcurrent Protection Issues in
Distribution Feeders with Distributed Generation - A Case Study. 38th Annual
Hawaii International Conference on System Sciences. 66b-66b.
Bretas, A., Moreto, M., Salim, R. & Pires, L. 2006. A novel high impedance fault
location for distribution systems considering distributed generation. IEEE PES
Transmission and Distribution Conference and Exposition, Latin America,
Venezuela. 1-6.
Chaitusaney, S. & Yokoyama, A. 2005. Impact of protection coordination on sizes of
several distributed generation sources. The 7th International Power
Engineering Conference, (IPEC 2005) 669-674 Vol. 662.
Cheung, H., Hamlyn, A., Cungang, Y. & Cheung, R. 2007. Network-based Adaptive
Protection Strategy for Feeders with Distributed Generations. IEEE Canada
Electrical Power Conference (EPC 2007). 514-519.
Doyle, M. T. 2002. Reviewing the impacts of distributed generation on distribution
system protection. Power Engineering Society Summer Meeting, 2002 IEEE.
1: 103-105 vol.101.
El-Zonkoly, A. M. 2011. Fault diagnosis in distribution networks with distributed
generation. Electric Power Systems Research 81(7): 1482-1490.
Fei, W. & Ying, S. 2003. An Improved Matrix Algorithm for Fault Location in
Distribution Network of Power Systems Automation of Electric Power Systems
24(3).
Gaonkar, D. N. 2010. Distributed Generation. Croatia: InTech.
Hui, W., Li, K. K. & Wong, K. P. 2010. An Adaptive Multiagent Approach to
Protection Relay Coordination With Distributed Generators in Industrial
Power Distribution System. IEEE Transactions on Industry Applications
46(5): 2118-2124.
APPENDIX A
RESULT OF FAULT DIAGNOSIS FOR THE 22 AND 32 BUS TEST SYSTEMS
Table A-1 Fault Diagnosis Results of the 22 bus test system
Sample Fault
type
Identify fault location Isolation Restoration
RBFNN 1,3,5,7 RBFNN 2,4,6,8 RBFNN 3, 6, 9, 12 temporary
Distance from
Main
Source(Km)
Distance
from
DG1(Km)
Distance
from
DG2(Km)
Faulty Line
No. CB1 CB2 CB3 CB4
Recloser
‘1’
Close
‘1’
950
meter
of line
1
1 Ph-G 0.960 2.060 7.055 0.98 0 0 0 0 CB1 CB2-CB3-CB4
2 Ph 0.960 2.061 7.059 0.91 0 0 0 0 CB1 CB2-CB3-CB4
2 Ph-G 0.950 2.053 7.060 1.02 0 0 0 0 CB1 CB2-CB3-CB4
3 Ph 0.961 2.057 7.057 1.07 0 0 0 0 CB1 CB2-CB3-CB4
Actual 0.950 2.050 7.050 1 0 0 0 0
200
meter
of line
2
1 Ph-G 1.195 1.794 7.197 1.98 0 0 0 0 CB1 CB2-CB3-CB4
2 Ph 1.189 1.803 7.189 2.03 0 0 0 0 CB1 CB2-CB3-CB4
2 Ph-G 1.211 1.802 7.193 2.01 0 0 0 0 CB1 CB2-CB3-CB4
3 Ph 1.195 1.811 7.190 2.02 0 0 0 0 CB1 CB2-CB3-CB4
Actual 1.200 1.800 7.200 2 0 0 0 0
Continue …
… Continued
350
meter
of line
3
1 Ph-G 2.347 0.643 8.351 3.03 1 0 1 0 CB2 DG1-CB4
2 Ph 2.352 0.657 8.344 3.01 1 0 1 0 CB2 DG1-CB4
2 Ph-G 2.361 0.656 8.346 3.09 1 0 1 0 CB2 DG1-CB4
3 Ph 2.355 0.647 8.351 3.05 1 0 1 0 CB2 DG1-CB4
Actual 2.350 0.650 8.350 3 1 0 1 0
450
meter
of line
4
1 Ph-G 3.450 0.453 9.442 4.01 1 1 1 0 CB4 CB4
2 Ph 3.449 0.458 9.449 3.98 1 1 1 0 CB4 CB4
2 Ph-G 3.450 0.452 9.448 4.00 1 1 1 0 CB4 CB4
3 Ph 3.451 0.456 9.447 4.02 1 1 1 0 CB4 CB4
Actual 3.450 0.450 9.450 4 1 1 1 0
560
meter
of line
5
1 Ph-G 4.560 1.562 10.554 4.96 1 1 1 0 CB4 CB4
2 Ph 4.559 1.555 10.553 4.92 1 1 1 0 CB4 CB4
2 Ph-G 4.560 1.559 10.561 5.02 1 1 1 0 CB4 CB4
3 Ph 4.558 1.556 10.556 5.08 1 1 1 0 CB4 CB4
Actual 4.560 1.560 10.560 5 1 1 1 0