Modern optimisation techniques in power systems

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.