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    Title: Optimal design for power system dynamic stabilizer by grey prediction PID control
    Authors: Ding, Chian-chuang;Lee, King-tan;Tsai, Chee-ming;Huang, Tsong-liang
    Contributors: 淡江大學電機工程學系
    Keywords: Power Systems Stability;Grey Prediction;Genetic Algorithms
    Date: 2002-12
    Issue Date: 2010-04-15 11:17:17 (UTC+8)
    Publisher: N.Y.: Institute of Electrical and Electronic Engineers (IEEE)
    Abstract: 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.
    Relation: Industrial Technology, 2002. IEEE ICIT '02. 2002 IEEE International Conference on (Volume:1 ), pp.279-284
    DOI: 10.1109/ICIT.2002.1189907
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Proceeding

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