Lee / El-Sharkawi Modern Heuristic Optimization Techniques

Theory and Applications to Power Systems
1. Auflage 2008
ISBN: 978-0-470-22585-1
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 624 Seiten, E-Book

Reihe: IEEE Press Series on Power Engineering

This book explores how developing solutions with heuristic tools offers two major advantages: shortened development time and more robust systems. It begins with an overview of modern heuristic techniques and goes on to cover specific applications of heuristic approaches to power system problems, such as security assessment, optimal power flow, power system scheduling and operational planning, power generation expansion planning, reactive power planning, transmission and distribution planning, network reconfiguration, power system control, and hybrid systems of heuristic methods.

Autoren/Hrsg.

Lee, Kwang Y.

El-Sharkawi, Mohamed A.

Inhaltsverzeichnis

Preface.
Contributors.
Part 1: Theory of Modern Heuristic Optimization.
1. Introduction to Evolutionary Computation (David B. Fogel)
2. Fundamentals of Genetic Algorithms (Alexandre P. Alves daSilva and Djalma M. Falcao)
3. Fundamentals of Evolution Strategies and EvolutionaryProgramming (Vladimiro Miranda)
4. Fundamentals of Particle Swarm Optimization Techniques(Yoshikazu Fukuyama)
5. Fundamentals of Ant Colony Search Algorithms (Yong-Hua Song,Haiyan Lu, Kwang Y. Lee, and I.K. Yu)
6. Fundamentals of Tabu Search (Alcir J. Monticelli, RubenRomero, and Eduardo Nobuhiro Asada)
7. Fundamentals of Simulated Annealing (Alcir J. Monticelli,Ruben Romero, and Eduardo Nobuhiro Asada)
8. Fuzzy Systems (Germano Lambert-Torres)
9. Differential Evolution, an Alternative Approach toEvolutionary Algorithm (Kit Po Wong and Zhao Yang Dong)
10. Pareto Multiobjective Optimization (Patrick N. Ngatchou,Anahita Zarei, Warren L. J. Fox, and Mohamed A. El-Sharkawi)
11. Trust-Tech Paradigm for Computing High-Quality OptimalSolutions: Method and Theory (Hsiao-Dong Chaing and JaewookLee)
Part 2: Selected Applications of Modern HeuristicOptimization in Power Systems.
12. Overview of Applications in Power Systems (Alexandre P.Alves da Silva, Djalma M. Falcao, and Kwang Y. Lee)
13. Application of Evolutionary Technique to Power SystemVulnerability Assessment (Mingoo Kim, Mohamed A. el-Sharkawi,Robert J. Marks, and Ioannis N. Kassabalidis)
14. Applications to System Planning (Eduardo Nobuhiro Asada,Youngjae Jeon, Kwang Y. Lee, Vladimiro Miranda, Alcir J.Monticelli, Koichi Nara, Jong-Bae Park, Ruben Romero, and Yong-HuaSong)
15. Applications to Power System Scheduling (Koay Chin Aik, LoiLei Lai, Kwang Y. Lee, Haiyan Lu, Jong-Bae Park, Young-Hua Song,Dipti Srinivasan, John G. Vlachogiannis, and I.K. Yu)
16. Power System Controls (Yoshikazu Fukuyama, HamidGhezelayagh, Kwang Y. Lee, Chen-Ching Liu, Yong-Hua Song, and YingXiao)
17. Genetic Algorithms for Solving Optimal Power Flow Problems(Loi Lei Lai and Nidul Sinha)
18. An Interactive Compromise Programming-Based MultiobjectiveApproach to FACTS Control (Ying Xiao, Young-Hua Song, andChen-Ching Liu)
19. Hybrid Systems (Vladimiro Miranda)
Index.

Über Autor(innen)

Kwang Y. Lee, PhD, is a Professor and Chair of Electrical andComputer Engineering at Baylor University (Texas). He is a Fellowof the IEEE. He was an associate editor of IEEE Transactions onNeural Networks and is an Editor of IEEE Transactions on EnergyConversion. He was also a member of the board of directors of theInternational Conference on Intelligent System Applications toPower Systems (ISAP).
Mohamed A. El-Sharkawi, PhD, is a Professor of ElectricalEngineering at the University of Washington. He is a Fellow of theIEEE, founder of the International Forum on the Application ofNeural Networks to Power Systems (ANNPS), and cofounder of theInternational Conference on Intelligent System Applications toPower Systems (ISAP).