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標題:Optimal design for power system dynamic stabilizer by grey prediction PID control
學年91
學期1
發表日期2002/12/11
作品名稱Optimal design for power system dynamic stabilizer by grey prediction PID control
作品名稱(其他語言)
著者Ding, Chian-chuang; Lee, King-tan; Tsai, Chee-ming; Huang, Tsong-liang
作品所屬單位淡江大學電機工程學系
出版者N.Y.: Institute of Electrical and Electronic Engineers (IEEE)
會議名稱Industrial Technology, 2002. IEEE ICIT '02. 2002 IEEE International Conference on
會議地點Bangkok, Thailand
摘要In this paper, we proposed an effective method 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. 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 and use grey prediction PID control to find control signal of each generator. Moreover, we will apply genetic algorithms (GAs) to find the appropriate parameter values for the desired system. Finally, the advantages of the proposed method are illustrated by numerical simulation of the two machines-infinite-bus power systems.
關鍵字Power Systems Stability; Grey Prediction; ;
Genetic Algorithms
語言英文
收錄於
會議性質國際
校內研討會地點
研討會時間20021211~20021214
通訊作者
國別泰國
公開徵稿Y
出版型式紙本
出處Industrial Technology, 2002. IEEE ICIT '02. 2002 IEEE International Conference on (Volume:1 ), pp.279-284
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