Modern Optimization Techniques with Applications in Electric Power Systems

  • Soliman Abdel-Hady Soliman
  • Abdel-Aal Hassan Mantawy

Part of the Energy Systems book series (ENERGY)

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Soliman Abdel-Hady Soliman, Abdel-Aal Hassan Mantawy
    Pages 1-22
  3. Soliman Abdel-Hady Soliman, Abdel-Aal Hassan Mantawy
    Pages 23-81
  4. Soliman Abdel-Hady Soliman, Abdel-Aal Hassan Mantawy
    Pages 83-184
  5. Soliman Abdel-Hady Soliman, Abdel-Aal Hassan Mantawy
    Pages 185-279
  6. Soliman Abdel-Hady Soliman, Abdel-Aal Hassan Mantawy
    Pages 281-346
  7. Soliman Abdel-Hady Soliman, Abdel-Aal Hassan Mantawy
    Pages 347-380
  8. Soliman Abdel-Hady Soliman, Abdel-Aal Hassan Mantawy
    Pages 381-409
  9. Back Matter
    Pages 411-414

About this book

Introduction

This book presents the application of some AI related  modern optimization techniques in the operation and control of electric power systems. With practical applications and examples the use of functional analysis, simulated annealing, Tabu-search, Genetic algorithms and fuzzy systems for the optimization of power systems is discussed in detail. Preliminary mathematical concepts are presented before moving to more advanced material.

Researchers, senior undergraduate and graduate students will benefit from this book. Engineers working in utility companies, operations and control, and water resource management will also find this book useful.

Keywords

Control Systems Energy Economics Power systems

Authors and affiliations

  • Soliman Abdel-Hady Soliman
    • 1
  • Abdel-Aal Hassan Mantawy
    • 2
  1. 1., Faculty of EngineeringMisr University for Science and Technolo6th of October CityEgypt
  2. 2., Faculty of EngineeringAin Shams UniversityCairoEgypt

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-1752-1
  • Copyright Information Springer Science+Business Media, LLC 2012
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-1-4614-1751-4
  • Online ISBN 978-1-4614-1752-1
  • Series Print ISSN 1867-8998
  • Series Online ISSN 1867-9005
  • About this book