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
2.3 2.4
Protection Issues for Distribution Networks 2.2.1
Short Circuit Currents
3
2.2.2
Power Flow
3
2.2.3
Overcurrent Protection
3
Distribution Systems
3
2.3.1
3
Review of Distribution Networks
Review of Distributed Generation
3
2.4.1
3
Distribution System Protection
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
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
8
Results of Strategy
11
5.2.1
11
Results of Strategy for the 14 bus test system
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
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 APPENDIXES
3
4
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 Z L : Total Line-Impedance Z DG : The DG Impedance
Z S : The Source Impedance U S : Voltages of the Main Source U DG : Voltages of DG Unit
I : Current I SC : Short Circuit Current I SC , S : The Grid Contribution of the Short Circuit Current
CHAPTER I
1
1.1
INTRODUCTION
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
2.1
LITERATURE REVIEW
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 I 1 and I 2 and applying the Kirchhoff’s voltage law for U S and U DG , we get,
US ZS ZL U DG (1 l ).Z L
(1 l ).Z L I1 . Z DG (1 l ).Z L I 2
(2.2)
where I 1 is the grid contribution of the short circuit current, I SC ,S , and I 2 is the DG-contribution of the short circuit current, I SC , DG , 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
3.1
AUTOMATED FAULT DIAGNOSIS IN A DISTRIBUTION NETWORK WITH DISTRIBUTED GENERATION
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
4.1
PROTECTION COORDINATION STATEGY IN A DISTRIBUTION NETWORK WITH DISTRIBUTED GENERATION
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
5.1
RESULTS AND DISCUSSION
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
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,
CHAPTER VI
6
6.1
CONCLUSION AND FUTURE WORKS
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
6.2
The third objective is to develop a new 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 Identify fault location
Sample
950 meter of line 1
200 meter of line 2
Fault type
RBFNN 1,3,5,7
RBFNN 2,4,6,8
Isolation
Restoration
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’
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
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
450 meter of line 4
560 meter of line 5
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
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
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
APPENDIX B
MATLAB CODE clear all; clc; % determine network % DataNetwork_1; % DataNetwork_2; DataNetwork_3; % define faulted line Nline_fault = 2;