Modern Optimisation Techniques in Power Systems

1. Front Matter

   Pages i-xi

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2. Introduction

   • Y. H. Song

   Pages 1-13

3. Simulated Annealing Applications

   • K. Nara

   Pages 15-38

4. Tabu Search Application in Fault Section Estimation and State Identification of Unobserved Protective Relays in Power System

   • Fushuan Wen, C. S. Chang

   Pages 39-61

5. Genetic Algorithms for Scheduling Generation and Maintenance in Power Systems

   • C. J. Aldridge, K. P. Dahal, J. R. McDonald

   Pages 63-89

6. Transmission Network Planing Using Genetic Algorithms

   • M. R. Irving, H. M. Chebbo, S. O. Orero

   Pages 91-111

7. Artificial Neural Networks for Generator Scheduling

   • Michael P. Walsh, Mark J. O’Malley

   Pages 113-139

8. Decision Making in a Deregulated Power Environment Based on Fuzzy Sets

   • S. M. Shahidehpour, M. I. Alomoush

   Pages 141-171

9. Lagrangian Relaxation Applications to Electric Power Operations and Planning Problems

   • A. J. Conejo, J. M. Arroyo, N. Jiménez Redondo, F. J. Prieto

   Pages 173-203

10. Interior Point Methods and Applications in Power Systems

    • Xie Kai, Y. H. Song

    Pages 205-245

11. Ant Colony Search, Advanced Engineered-Conditioning Genetic Algorithms and Fuzzy Logic Controlled Genetic Algorithms: Economic Dispatch Problems

    • Y. H. Song, C. S. V. Chou, I. K. Yu, G. S. Wang

    Pages 247-260

12. Industrial Applications of Artificial Intelligence Techniques

    • A. O. Ekwue

    Pages 261-275

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.

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

• Department of Electrical Engineering and Electronics, Brunel University, West London, UK

  Yong-Hua Song

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