Optimal design for power system dynamic stabilizer by grey prediction PID control

doi:10.1109/ICIT.2002.1189907

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題名:	Optimal design for power system dynamic stabilizer by grey prediction PID control
作者:	Ding, Chian-chuang;Lee, King-tan;Tsai, Chee-ming;Huang, Tsong-liang
貢獻者:	淡江大學電機工程學系
關鍵詞:	Power Systems Stability;Grey Prediction;Genetic Algorithms
日期:	2002-12
上傳時間:	2010-04-15 11:17:17 (UTC+8)
出版者:	N.Y.: Institute of Electrical and Electronic Engineers (IEEE)
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.
關聯:	Industrial Technology, 2002. IEEE ICIT '02. 2002 IEEE International Conference on (Volume:1 ), pp.279-284
DOI:	10.1109/ICIT.2002.1189907
顯示於類別:	[電機工程學系暨研究所] 會議論文

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