This book provides proven methods for supplying uninterrupted, quality power at a reasonable price to the consumer. Taking into consideration operating constraints as well as generation cost, line overload, and congestion for expected and inadvertent loading stress, the text presents solutions based on stochastic optimization techniques—such as genetic algorithm, particle swarm optimization, and differential evolution—for improving the stability, reliability, and efficiency of LPS and deregulated multi-bus networks. It also proposes the use of stochastic techniques in optimizing utility management in the smart grid.
List of Abbreviations
List of Figures
List of Principal Symbols
List of Tables
Chapter 1 : Prologue
Chapter 2 : Background and Literature Survey
Chapter 3 : Analysis of Voltage Stability of LPS using Artificial Neural Network
Chapter 4 : Improvement of System Performances using Facts and/or HVDC
Chapter 5 : Multi-Objective Optimization Algorithms for Deregulated Power Market
Chapter 6 : Application of Stochastic Optimization Techniques in Smart Grid
Epilogue
Appendix A : Description of Test Systems
Appendix B : Development of System Performance Indices
Index
