Modern Heuristic Optimization Techniques : Theory and Applications to Power Systems

Kwang Y Lee

ISBN 10: 0471457116 / ISBN 13: 9780471457114

Edité par Wiley Jan 2008, 2008

A propos de cet article

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

N° de réf. du vendeur 9780471457114

Détails bibliographiques

• Titre: Modern Heuristic Optimization Techniques : Theory and Applications to Power Systems
• Éditeur: Wiley Jan 2008
• Date de parution: 2008
• Langue: anglais
• ISBN à 10 chiffres: 0471457116
• ISBN à 13 chiffres: 9780471457114
• Reliure: Buch
• État de l'article: Neu

A propos de ce titre

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.

À propos de l?auteur

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).