Yong-hua Song

Modern Optimisation Techniques in Power Systems - Intelligent Systems, Control and Automation: Science and Engineering Yong-hua Song Softcover Reprint of Hardcover 1st Ed. 1999 edition

Marc Notes: Originally published: 1999.; Includes bibliographical references and index.; Under an ever-increasingly competitive/deregulated environment, power utilities need efficient and effective tools to ensure that electrical energy can be provided at the lowest cost. This book offers a comprehensive cover of major modern optimisation methods applied to power systems. Table of Contents: Preface. Contributors. 1. Introduction; Y. H. Song. 2. Simulated annealing applications; K. Nara. 3. Tabu search application in fault section estimation and state identification of unobserved protective relays in power system; F. Wen, C. S. Chang. 4. Genetic algorithms for scheduling generation and maintenance in power systems; C. J. Aldridge, et al. 5. Transmission network planning using genetic algorithms; M. R. Irving, et al. 6. Artificial neural networks for generation scheduling; M. P. Walsh, M. J. O'Malley. 7. Decision making in a deregulated power environment based on fuzzy sets; S. M. Shahidehpour, M. I. Alomoush. 8. Lagrangian relaxation applications to electric power operations and planning problems; A. J. Conejo, et al. 9. Inter point methods and applications in power systems; K. Xie, Y. H. Song. 10. Ant colony search, advanced engineered-conditioning genetic algorithms and fuzzy logic controlled genetic algorithms: economic dispatch problems; Y. H. Song, et al. 11. Industrial applications of artificial intelligence techniques; A. O. Ekwue.