淡江大學機構典藏:Item 987654321/46309
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    题名: Optimal capacitor placement in distribution systems using a combination fuzzy-GA method
    作者: Hsiao, Ying-tung;Chen, Chia-hong;Chien, Cheng-chih
    贡献者: 淡江大學電機工程學系
    关键词: Capacitor placement;Genetic algorithms;Fuzzy satisfying method;Multi-objective optimization
    日期: 2004-02-19
    上传时间: 2010-03-26 21:59:12 (UTC+8)
    出版者: Institute of Electrical and Electronics Engineers (IEEE)
    摘要: This work presents a combination fuzzy-GA method to resolve the capacitor placement problem. The problem formulation considers three distinct objective functions related to minimize the total cost for energy loss and capacitors to be installed, as well as decreasing the deviation of bus voltage and improving the margin loading of feeders. The novel formulation is a multi-objective and non-differentiable optimization problem. These objective functions are first formulated in fuzzy sets to assess their imprecise nature before introducing a fuzzy satisfying method based on the GA to derive the optimal solution. The proposed approach is implemented in a software package and its effectiveness is verified through numerical examples on the Tai-power system.
    關聯: International Journal of Electrical Power & Energy Systems 26(7), p.501-508
    DOI: 10.1016/j.ijepes.2004.01.002
    显示于类别:[電機工程學系暨研究所] 期刊論文

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