Modern optimisation techniques in power systems
- 作者： Song, Yong-Hua.
- 其他題名：
- International series on microprocessor-based and intelligent systems engineering ;
- 出版： Dordrecht ;Boston : Kluwer Academic Publishers
- 叢書名： International series on microprocessor-based and intelligent systems engineering ;v. 20
- 主題： Electric utilities--Management--Data processing , Electric power systems--Control--Data processing , Mathematical optimization--Data processing
- ISBN： 0792356977 (hbk.): US$141.00
- 資料類型: 圖書
- 內容註: Includes bibliographical references
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讀者標籤：
- 系統號： 005223395 | 機讀編目格式
館藏資訊
Under an ever-increasingly competitive/deregulated environment, power utilities need efficient and effective tools to ensure that electrical energy of the desired quality can be provided at the lowest cost. These usually form highly constrained optimisation problems. Modern Optimisation Techniques in Power Systems is the first book to offer a comprehensive cover of major modern optimisation methods applied to power systems, including: simulated annealing, tabu search, genetic algorithms, neural networks, fuzzy programming, Lagrangian relaxation, interior point methods, ant colony search and hybrid techniques. Various applications and case studies are presented to demonstrate the potential and procedures of applying such techniques in solving complex power system optimisation problems. Written by top international experts in this field, this book will be a useful reference for professional engineers and managers involved in the optimisation of power system operation. It will also be of interest to postgraduates and researchers.