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Modern Optimisation Techniques in Power Systems

  • Yong-Hua Song

Table of contents

  1. Front Matter
    Pages i-xi
  2. Y. H. Song
    Pages 1-13
  3. K. Nara
    Pages 15-38
  4. C. J. Aldridge, K. P. Dahal, J. R. McDonald
    Pages 63-89
  5. M. R. Irving, H. M. Chebbo, S. O. Orero
    Pages 91-111
  6. Michael P. Walsh, Mark J. O’Malley
    Pages 113-139
  7. S. M. Shahidehpour, M. I. Alomoush
    Pages 141-171
  8. A. J. Conejo, J. M. Arroyo, N. Jiménez Redondo, F. J. Prieto
    Pages 173-203

About this book

Introduction

The electric power industry is currently undergoing an unprecedented reform. The deregulation of electricity supply industry has introduced new opportunity for competition to reduce the cost and cut the price. It is a tremendous challenge for utilities to maintain an economical and reliable supply of electricity in such an environment. Faced by an increasingly complicated existence, power utilities need efficient tools and aids to ensure that electrical energy of the desired quality can be provided at the lowest cost. The overall objective, both for short-term and long-term operations, is then to find the best compromise between the requirements of security and economy. That is, effective tools are urgently required to solve highly constrained optimisation problems. In recent years, several major modem optimisation techniques have been applied to power systems. A large number of papers and reports have been published. In this respect, it is timely to edit a book on this topic with an aim to report the state of the art development internationally in this area.

Keywords

algorithm algorithms artificial intelligence fuzzy fuzzy logic fuzzy set genetic algorithms intelligence optimization programming

Editors and affiliations

  • Yong-Hua Song
    • 1
  1. 1.Department of Electrical Engineering and ElectronicsBrunel UniversityWest LondonUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-015-9189-8
  • Copyright Information Springer Science+Business Media B.V. 1999
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-90-481-5216-2
  • Online ISBN 978-94-015-9189-8
  • Series Print ISSN 2213-8986
  • Buy this book on publisher's site
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