[request_ebook] Modern Heuristic Optimization Techniques: Theory and Applications to Power Systems (IEEE Press Series on Power Engineering)

Description

• Author: Kwang Y. Lee and Mohamed A. El-Sharkawi
• Publisher: Wiley-IEEE Press
• Publish Date: 2008-02-08 (print) / 2007-06-08
• Pages: 616

Book Description
This book provides readers with basic knowledge of evolutionary computation and other heuristic optimization techniques, and explains how they are combined with knowledge elements in computational intelligence systems. Applications to power problems are stressed, and example applications are presented.

The first book to offer a comprehensive overview of the wide range of modern heuristic optimization techniques in a unified way for general readers, it provides a wealth of information on practical applications in power systems for practicing engineers. Coverage includes the fundamentals of evolutionary computation, genetic algorithms, evolutionary programming and strategies, simulated annealing, tabu search, and hybrid system of evolutionary computation, plus an overview of power system applications. The text also discusses specific applications of the heuristic approaches to power system problems, such as security assessment, operational planning, generation, transmission and distribution planning, state estimation, and power plant and power system control.

From the Back Cover

Provides power system engineers with basic knowledge of heuristic optimization techniques

Several heuristic tools have evolved in the last decade that facilitate solving optimization problems that were previously extremely challenging or even impossible to solve. Now, based on a successful tutorial given by the editors at IEEE Power Engineering Society conferences in New York and Toronto, Modern Heuristic Optimization Techniques explores how developing solutions with these tools offers two major advantages: shortened development time and more robust systems.

Composed of two parts, the book begins with an overview of modern heuristictechniques, including the fundamentals of evolutionary computation, genetic algorithms,evolutionary programming and strategies, particle swarm optimization, ant colony search algorithm, differential evolution, simulated annealing, tabu search, and hybrid systems of evolutionary computation. Next, it covers 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 plant control, power system control, and hybrid systems of heuristic methods.

Complemented with scores of drawings, charts, graphs, and tables that help bring the material to life, Modern Heuristic Optimization Techniques is the only book of its kind to provide a comprehensive treatment of the subject in a manner that is accessible to students and practitioners alike.

 

Wiley Interscience Link:

http://www3.interscience.wiley.com/cgi-bin/bookhome/114278070

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