| 书目名称 | Modern Optimisation Techniques in Power Systems |
| 编辑 | Yong-Hua Song |
| 视频video | |
| 丛书名称 | Intelligent Systems, Control and Automation: Science and Engineering |
| 图书封面 |  |
| 描述 | 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. |
| 出版日期 | Book 1999 |
| 关键词 | algorithm; algorithms; artificial intelligence; fuzzy; fuzzy logic; fuzzy set; genetic algorithms; intellig |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-94-015-9189-8 |
| isbn_softcover | 978-90-481-5216-2 |
| isbn_ebook | 978-94-015-9189-8Series ISSN 2213-8986 Series E-ISSN 2213-8994 |
| issn_series | 2213-8986 |
| copyright | Springer Science+Business Media Dordrecht 1999 |
发表于 2025-3-21 19:55:11
