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    Please use this identifier to cite or link to this item: http://ir.lib.ksu.edu.tw/handle/987654321/13044


    Title: A Fast Restoration Strategy in Distribution Systems Using Enhanced Differential Evolution Approach
    Authors: Chao-Ming Huang(黃昭明)
    Cheng-Tao Hsiehy(謝承道)
    Yann-Chang Huang(黃燕昌)
    Yung-Shan Wang
    Contributor: 電機工程系
    Keywords: service restoration
    enhanced hybrid differential evolution
    ant system, distribution
    Date: 2010-12-15
    Issue Date: 2010-12-31 17:55:28 (UTC+8)
    Abstract: This paper proposes a fast restoration strategy of distribution systems using an enhanced differential
    evolution (EDE) approach. Service restoration of distribution systems is an emergent task
    that must be performed rapidly by the system operators. Basically, it is a complicated combinatorial
    optimization problem, often having many candidate solutions to be evaluated by the operators.
    To improve the efficiency of restoration and reduce the burden on the operators, this paper proposes
    an EDE method combining variable scaling differential evolution (VSDE) algorithm and ant
    system (AS) to solve the combinatorial optimization problem. To verify the effectiveness of the
    proposed method, a typical distribution system of the Taiwan Power Company (TPC) was tested
    and compared with the existing methods. The results show the proposed method was superior to
    the existing methods in terms of convergence time and the obtained restoration plan.
    Relation: International Journal of Emerging Electric Power Systems Volume 11, Issue 3
    Appears in Collections:[電機工程系所] 期刊論文

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