Electric Systems, Dynamics, and Stability With Artificial Intelligence Applications

by ;
Edition: 1st
Format: Hardcover
Pub. Date: 1999-11-24
Publisher(s): CRC Press
List Price: $155.15

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Summary

Offers a solid foundation to the principles & practice of dynamics & stability assessment of large-scale power systems, focusing on the use of interconnected systems-meeting the requirements of today's competitive & deregulated environments. Provides a complete introduction to the history, structure & assessment of electric power systems.

Author Biography

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 v
H. Lee Willis
Preface vii
Introduction
1(9)
Historical Background
1(2)
Structure at a Generic Electric Power System
3(4)
Power System Security Assessment
7(3)
Static Electric Network Models
10(26)
Introduction
10(1)
Complex Power Concepts
11(3)
Three-Phase Systems
14(7)
Synchronous Machine Modeling
21(10)
Reactive Capability Limits
31(1)
Static Load Models
32(4)
Conclusions
35(1)
Dynamic Electric Network Models
36(9)
Introduction
36(1)
Excitation System Model
36(4)
Prime Mover and Governing System Models
40(3)
Modeling of Loads
43(2)
Conclusions
44(1)
Philosophy of Security Assessment
45(64)
Introduction
45(1)
The Swing Equation
46(1)
Some Alternative Forms
47(3)
Transient and Subtransient Reactances
50(5)
Synchronous Machine Model in Stability Analysis
55(4)
Subtransient Equations
59(1)
Machine Models
59(4)
Groups of Machines and the Infinite Bus
63(1)
Stability Assessment
63(5)
Concepts in Transient Stability
68(3)
A Method for Stability Assessment
71(11)
Mathematical Models and Solution Methods in Transient Stability Assessment for General Networks
82(7)
Integration Techniques
89(9)
The Transient Stability Algorithm
98(11)
Conclusions
108(1)
Assessing Angle Stability via Transient Energy Function
109(23)
Introduction
109(1)
Stability Concepts
110(7)
System Model Description
117(1)
Stability of a Single-Machine System
118(3)
Stability Assessment for n-Generator System by the TEF Method
121(5)
Application to a Practical Power System
126(1)
Boundary of the Region of Stability
127(5)
Conclusion
131(1)
Voltage Stability Assessment
132(43)
Introduction
132(2)
Working Definition of Voltage Collapse Study Terms
134(1)
Typical Scenario of Voltage Collapse
135(1)
Time-Frame Voltage Stability
136(1)
Modeling for Voltage Stability Studies
136(2)
Voltage Collapse Prediction Methods
138(1)
Classification of Voltage Stability Problems
138(2)
Voltage Stability Assessment Techniques
140(5)
Analysis Techniques for Steady-State Voltage Stability Studies
145(6)
Parameterization
151(5)
The Technique of Modal Analysis
156(1)
Analysis Techniques for Dynamic Voltage Stability Studies
157(18)
Conclusion
169(1)
Modal Analysis: Worked Example
170(5)
Technology of Intelligent Systems
175(46)
Introduction
175(2)
Fuzzy Logic and Decision Trees
177(1)
Artificial Neural Networks
177(7)
Robust Artificial Neural Network
184(7)
Expert Systems
191(15)
Fuzzy Sets and Systems
206(8)
Expert Reasoning and Approximate Reasoning
214(7)
Conclusion
220(1)
Application of Artificial Intelligence to Angle Stability Studies
221(38)
Introduction
221(1)
ANN Application in Transient Stability Assessment
222(16)
A Knowledge-Based System for Direct Stability Analysis
238(21)
Conclusions
257(2)
Application of Artificial Intelligence to Voltage Stability Assessment and Enhancement to Electrical Power Systems
259(30)
Introduction
259(1)
ANN-Based Voltage Stability Assessment
260(5)
ANN-Based Voltage Stability Enhancement
265(7)
A Knowledge-Based Support System for Voltage Collapse Detection and Prevention
272(6)
Implementation for KBVCDP
278(9)
Utility Environment Application
287(2)
Conclusion
287(2)
Epilogue and Conclusions
289(9)
Glossary 298(13)
Appendix: Chapter Problems 311(21)
Bibliography 332(19)
Index 351

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