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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/38804

    Title: Design of sliding mode power system stabilizer via genetic algorithm
    Other Titles: 使用基因演算法之滑動模式電力系統穩定器設計
    Authors: Huang, Tsong-liang;Chang, Chih-han;Lee, Ju-lin;Wang, Hui-mei
    Contributors: 淡江大學電機工程學系
    Keywords: PSS;Sliding Mode;Genetic Algorithm
    Date: 2003-07-16
    Issue Date: 2010-04-15 11:23:09 (UTC+8)
    Publisher: Institute of Electrical and Electronics Engineers (IEEE)
    Abstract: 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.
    Relation: Computational Intelligence in Robotics and Automation, 2003. Proceedings. 2003 IEEE International Symposium on (Volume:2 ), pp.515-520
    DOI: 10.1109/CIRA.2003.1222234
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Proceeding

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