POWER SYSTEM OPTIMIZATION
By: Dhillon Kothari
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This edition presents systematic coverage of local and global optimization techniques such as binary- and real-coded genetic algorithms, evolutionary algorithms, particle swarm optimization and differential evolutionary algorithms. The economic dispatch problem presented, considers higher-order nonlinearities and discontinuities in input-output characteristics in fossil fuel burning plants due to valve-point loading, ramp-rate limits and prohibited operating zones. Search optimization techniques presented are those which participate efficiently in decision making to solve the multiobjective optimization problems. Stochastic optimal generation scheduling is also updated in the new edition. Generalized Z-bus distribution factors (GZBDF) are presented to compute the active and reactive power flow on transmission lines. The interactive decision making methodology based on fuzzy set theory, in order to determine the optimal generation allocation to committed generating units, is also discussed.
This book is intended to meet the needs of a diverse range of groups interested in the application of optimization techniques to power system operation. It requires only an elementary knowledge of numerical techniques and matrix operation to understand most of the topics. It is designed to serve as a textbook for postgraduate electrical engineering students, as well as a reference for faculty, researchers, and power engineers interested in the use of optimization as a tool for reliable and secure economic operation of power systems.
The book discusses :
Load flow techniques and economic dispatch--both classical and rigorous
Economic dispatch considering valve-point loading, ramp-rate limits and prohibited operating zones
Real coded genetic algorithms for economic dispatch
Evolutionary programming for economic dispatch
Particle swarm optimization for economic dispatch
Differential evolutionary algorithm for economic dispatch
Stochastic multiobjective thermal power dispatch with security
Generalized Z-bus distribution factors to compute line flow
Stochastic multiobjective hydrothermal generation scheduling
Multiobjective thermal power dispatch using artificial neural networks
Fuzzy multiobjective generation scheduling
Multiobjective generation scheduling by searching weight pattern
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