Modern heuristic optimization techniques : theory and applications to power systems 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 da Silva and Djalma M. Falcao) 3. Fundamentals of Evolution Strategies and Evolutionary Programming (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 Ruben Romero 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 to Evolutionary 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 Optimal Solutions: Method and Theory (Hsiao Dong Chaing and Jaewook Lee) Part 2: Selected Applications of Modern Heuristic Optimization 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 System Vulnerability 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 Hua Song) 15. Applications to Power System Scheduling (Koay Chin Aik Loi Lei 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 Hamid Ghezelayagh Kwang Y. Lee Chen Ching Liu Yong Hua Song and Ying Xiao) 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 17. Genetic Algorithms for Solving Optimal Power Flow Problems (Loi Lei Lai and Nidul Sinha) 18. An Interactive Compromise Programming Based Multiobjective Approach to FACTS Control (Ying Xiao Young Hua Song and Chen Ching Liu) 19. Hybrid Systems (Vladimiro Miranda) Index