Design of sliding mode power system stabilizer via genetic algorithm
學年 91
學期 2
發表日期 2003-07-16
作品名稱 Design of sliding mode power system stabilizer via genetic algorithm
作品名稱（其他語言） 使用基因演算法之滑動模式電力系統穩定器設計
著者 Huang, Tsong-liang; Chang, Chih-han; Lee, Ju-lin; Wang, Hui-mei
作品所屬單位 淡江大學電機工程學系
出版者 Institute of Electrical and Electronics Engineers (IEEE)
會議名稱 Computational Intelligence in Robotics and Automation, 2003. Proceedings. 2003 IEEE International Symposium on
會議地點 Kobe, Japan
摘要 This paper proposes a new approach for combining genetic algorithm and sliding mode control to design the power system stabilizers (PSS). The design of a PSS can be formulated as an optimal linear regulator control problem. However, implementing this technique requires the design of estimators. This increases the implementation and reduces the reliability of control system. These reasons, therefore, favor a control scheme that uses only some desired state variables, such as torque angle and speed. To deal with this problem, we use the optimal reduced models to reduce the power system model into two state variables system by each generator. We use the genetic algorithm to find the switching control signals and use sliding mode control to find control signal of the generator. The advantages of the proposed method are illustrated by numerical simulation of the multi-machine power systems.
關鍵字 PSS; Sliding Mode; Genetic Algorithm
語言 en
收錄於
會議性質 國際
校內研討會地點
研討會時間 20030716~20030720
通訊作者
國別 JPN
公開徵稿 Y
出版型式
出處 Computational Intelligence in Robotics and Automation, 2003. Proceedings. 2003 IEEE International Symposium on (Volume:2 ), pp.515-520
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