This book provides readers with basic knowledge of evolutionary computation and other heuristic optimization techniques, and explains how they are combined with knowledge elements in computational intelligence systems. Applications to power problems are stressed, and example applications are presented. The first book to offer a comprehensive overview of the wide range of modern heuristic optimization techniques in a unified way for general readers, it provides a wealth of information on practical applications in power systems for practicing engineers. Coverage includes the fundamentals of evolutionary computation, genetic algorithms, evolutionary programming and strategies, simulated annealing, tabu search, and hybrid system of evolutionary computation, plus an overview of power system applications. The text also discusses specific applications of the heuristic approaches to power system problems, such as security assessment, operational planning, generation, transmission and distribution planning, state estimation, and power plant and power system control.
Kwang Y. Lee, PhD, is a Professor and Chair of Electrical and Computer Engineering at Baylor University (Texas). He is a Fellow of the IEEE. He was an associate editor of IEEE Transactions on Neural Networks and is an Editor of IEEE Transactions on Energy Conversion. He was also a member of the board of directors of the International Conference on Intelligent System Applications to Power Systems (ISAP). Mohamed A. El-Sharkawi, PhD, is a Professor of Electrical Engineering at the University of Washington. He is a Fellow of the IEEE, founder of the International Forum on the Application of Neural Networks to Power Systems (ANNPS), and cofounder of the International Conference on Intelligent System Applications to Power Systems (ISAP).