Applied Mathematics for Restructured Electric Power Systems Optimization, Control, and Computational Intelligence / [electronic resource] :
- 其他作者:
- 出版: Boston, MA : Springer Science+Business Media, Inc.
- 叢書名: Power electronics and power systems
- 主題: Electric power systems--Mathematics , Engineering , Power Engineering. , Electrical Power Generation and Transmission. , Renewable energy sources
- ISBN: 9780387234717 (electronic bk.) 、 9780387234700 (paper)
- FIND@SFXID: CGU
- 資料類型: 電子書
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讀者標籤:
- 系統號: 005017047 | 機讀編目格式
館藏資訊
Applied Mathematics for Restructured Electric Power Systems: Optimization, Control, and Computational Intelligence consists of chapters based on work presented at a National Science Foundation workshop organized in November 2003. The theme of the workshop was the use of applied mathematics to solve challenging power system problems. The areas included control, optimization, and computational intelligence. In addition to the introductory chapter, this book includes 12 chapters written by renowned experts in their respected fields. Each chapter follows a three-part format: (1) a description of an important power system problem or problems, (2) the current practice and/or particular research approaches, and (3) future research directions. Collectively, the technical areas discussed are voltage and oscillatory stability, power system security margins, hierarchical and decentralized control, stability monitoring, embedded optimization, neural network control with adaptive critic architecture, control tuning using genetic algorithms, and load forecasting and component prediction. This volume is intended for power systems researchers and professionals charged with solving electric and power system problems.