Modern Heuristic Optimization Techniques : Theory and Applications to Power Systems

Kwang Y Lee

ISBN 10: 0471457116 / ISBN 13: 9780471457114

Published by Wiley Jan 2008, 2008

About this Item

Neuware - Provides power system engineers with basic knowledge of heuristic optimization techniques.

Seller Inventory # 9780471457114

Bibliographic Details

• Title: Modern Heuristic Optimization Techniques : Theory and Applications to Power Systems
• Publisher: Wiley Jan 2008
• Publication Date: 2008
• Language: English
• ISBN 10: 0471457116
• ISBN 13: 9780471457114
• Binding: Buch
• Condition: Neu
• Dimensions: 240W x 161H x 37D millimeters 240 millimeters width by 161 millimeters height by 37 millimeters depth
• Weight: 1082 grams

About this title

Synopsis

This book explores how developing solutions with heuristic tools offers two major advantages: shortened development time and more robust systems. It begins with an overview of modern heuristic techniques and goes on to cover 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 system control, and hybrid systems of heuristic methods.

About the Author

Kwang Y. Lee, PhD, is a Professor and Chair of Electrical and Computer Engineering at Baylor University (Texas). He is a Fellow of the IEEE. He was an associate editor of IEEE Transactions on Neural Networks and is an Editor of IEEE Transactions on Energy Conversion. He was also a member of the board of directors of the International Conference on Intelligent System Applications to Power Systems (ISAP).

Mohamed A. El-Sharkawi, PhD, is a Professor of Electrical Engineering at the University of Washington. He is a Fellow of the IEEE, founder of the International Forum on the Application of Neural Networks to Power Systems (ANNPS), and cofounder of the International Conference on Intelligent System Applications to Power Systems (ISAP).