Optimal Design of the Grey Prediction PID Controller for Power System Stabilizers by Evolutionary Programming
學年 92
學期 2
發表日期 2004-03-21
作品名稱 Optimal Design of the Grey Prediction PID Controller for Power System Stabilizers by Evolutionary Programming
作品名稱（其他語言）
著者 Li, Chien-Ying; Huang, Tsong-Liang
作品所屬單位 淡江大學電機工程學系
出版者
會議名稱 2004 IEEE International Conference on Networking, Sensing and Control
會議地點 臺北市, 臺灣
摘要 In this paper, we propose an effective method to design the grey prediction PID controller for power system stabilizers (PSSs). The proposed method requires only a few desired state variables, such as torque angles and rotor speeds. Firstly, we use the optimal reducing technique to reduce the order of the power system model into two state variable systems, and then we use the grey prediction PID controller to predict the control signal of each generator. Moreover, we use the fuzzy controller to enhance the performance of the PID. And then we apply the evolutionary programming (EP) technique to search the optimal parameters of the PID controller and optimal forecasting step of the grey prediction. Finally, we illustrate the advantages of the proposed method with the numerical simulation of a two-machines-infinite-bus power system.
關鍵字 Power system stabilizer;Grey prediction fuzzy controller;Evolutionary programming
語言 en
收錄於
會議性質 國際
校內研討會地點
研討會時間 20040321~20040323
通訊作者
國別 TWN
公開徵稿 Y
出版型式 紙本
出處 Proceedings of 2004 IEEE International Conference on Networking, Sensing and Control，頁1370-1375
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