Title:
Electric systems, dynamics, and stability with artificial intelligence applications
Personal Author:
Series:
Power engineering
Publication Information:
New York, NY : Marcel Dekker, 2000
ISBN:
9780824702335
Added Author:
Available:*
Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
---|---|---|---|---|---|
Searching... | 30000010080075 | TK1010 M65 2000 | Open Access Book | Book | Searching... |
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Summary
Summary
This work seeks to provide a solid foundation to the principles and practices of dynamics and stability assessment of large-scale power systems, focusing on the use of interconnected systems - and aiming to meet the requirements of today's competitive and deregulated environments. It contains easy-to-follow examples of fundamental concepts and algorithmic procedures.
Author Notes
Mohamed E. El-Hawary is a Professor of Electrical and Computer Engineering and Associate Dean of Engineering at Dalhousie University, Halifax, Nova Scotia, Canada.
Table of Contents
Series Introduction | p. v |
Preface | p. vii |
1 Introduction | p. 1 |
1.1 Historical Background | p. 1 |
1.2 Structure at a Generic Electric Power System | p. 3 |
1.3 Power System Security Assessment | p. 7 |
2 Static Electric Network Models | p. 10 |
Introduction | p. 10 |
2.1 Complex Power Concepts | p. 11 |
2.2 Three-Phase Systems | p. 14 |
2.3 Synchronous Machine Modeling | p. 21 |
2.4 Reactive Capability Limits | p. 31 |
2.5 Static Load Models | p. 32 |
Conclusions | p. 35 |
3 Dynamic Electric Network Models | p. 36 |
Introduction | p. 36 |
3.1 Excitation System Model | p. 36 |
3.2 Prime Mover and Governing System Models | p. 40 |
3.3 Modeling of Loads | p. 43 |
Conclusions | p. 44 |
4 Philosophy of Security Assessment | p. 45 |
Introduction | p. 45 |
4.1 The Swing Equation | p. 46 |
4.2 Some Alternative Forms | p. 47 |
4.3 Transient and Subtransient Reactances | p. 50 |
4.4 Synchronous Machine Model in Stability Analysis | p. 55 |
4.5 Subtransient Equations | p. 59 |
4.6 Machine Models | p. 59 |
4.7 Groups of Machines and the Infinite Bus | p. 63 |
4.8 Stability Assessment | p. 63 |
4.9 Concepts in Transient Stability | p. 68 |
4.10 A Method for Stability Assessment | p. 71 |
4.11 Mathematical Models and Solution Methods in Transient Stability Assessment for General Networks | p. 82 |
4.12 Integration Techniques | p. 89 |
4.13 The Transient Stability Algorithm | p. 98 |
Conclusions | p. 108 |
5 Assessing Angle Stability via Transient Energy Function | p. 109 |
Introduction | p. 109 |
5.1 Stability Concepts | p. 110 |
5.2 System Model Description | p. 117 |
5.3 Stability of a Single-Machine System | p. 118 |
5.4 Stability Assessment for n-Generator System by the TEF Method | p. 121 |
5.5 Application to a Practical Power System | p. 126 |
5.6 Boundary of the Region of Stability | p. 127 |
Conclusion | p. 131 |
6 Voltage Stability Assessment | p. 132 |
Introduction | p. 132 |
6.1 Working Definition of Voltage Collapse Study Terms | p. 134 |
6.2 Typical Scenario of Voltage Collapse | p. 135 |
6.3 Time-Frame Voltage Stability | p. 136 |
6.4 Modeling for Voltage Stability Studies | p. 136 |
6.5 Voltage Collapse Prediction Methods | p. 138 |
6.6 Classification of Voltage Stability Problems | p. 138 |
6.7 Voltage Stability Assessment Techniques | p. 140 |
6.8 Analysis Techniques for Steady-State Voltage Stability Studies | p. 145 |
6.9 Parameterization | p. 151 |
6.10 The Technique of Modal Analysis | p. 156 |
6.11 Analysis Techniques for Dynamic Voltage Stability Studies | p. 157 |
Conclusion | p. 169 |
Modeal Analysis: Worked Example | p. 170 |
7 Technology of Intelligent Systems | p. 175 |
Introduction | p. 175 |
7.1 Fuzzy Logic and Decision Trees | p. 177 |
7.2 Artificial Neural Networks | p. 177 |
7.3 Robust Artificial Neural Network | p. 184 |
7.4 Expert Systems | p. 191 |
7.5 Fuzzy Sets and Systems | p. 206 |
7.6 Expert Reasoning and Approximate Reasoning | p. 214 |
Conclusion | p. 220 |
8 Application of Artificial Intelligence to Angle Stability Studies | p. 221 |
Introduction | p. 221 |
8.1 ANN Application in Transient Stability Assessment | p. 222 |
8.2 A Knowledge-Based System for Direct Stability Analysis | p. 238 |
Conclusions | p. 257 |
9 Application of Artificial Intelligence to Voltage Stability Assessment and Enhancement to Electrical Power Systems | p. 259 |
Introduction | p. 259 |
9.1 ANN-Based Voltage Stability Assessment | p. 260 |
9.2 ANN-Based Voltage Stability Enhancement | p. 265 |
9.3 A Knowledge-Based Support System for Voltage Collapse Detection and Prevention | p. 272 |
9.4 Implementation for KBVCDP | p. 278 |
9.5 Utility Environment Application | p. 287 |
Conclusion | p. 287 |
10 Epilogue and Conclusions | p. 289 |
Glossary | p. 298 |
Appendix Chapter Problems | p. 311 |
Bibliography | p. 332 |
Index | p. 351 |