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    题名: A fast global optimization approach to VAr planning for the large scale electric power systems
    作者: Liu, C.W.;Jwo, W.S.;Liu, C.C.;蕭瑛東;Hsiao, Ying-tung
    贡献者: 淡江大學電機工程學系
    日期: 1997-02
    上传时间: 2011-10-15 00:47:34 (UTC+8)
    出版者: Piscataway: Institute of Electrical and Electronics Engineers (IEEE)
    摘要: In this paper, an innovative fast global optimization technique, hybrid partial gradient descent/simulated annealing (HPGDSA), for optimal VAr planning is presented. The HPGDSA is introduced to search the global optimal solution considering both quality and speed at the same time. The basic idea of the HPGDSA is that partial gradient descent and simulated annealing alternate with each other such that it reduces the CPU time of the conventional simulated annealing (SA) method while retaining the main characteristics of SA, i.e., the ability to get the global optimal solution. The HPGDSA was applied to a practical power system, Taiwan Power System (Tai-Power System), with satisfactory results
    關聯: IEEE Transactions on Power Systems 12(1), pp.437-443
    DOI: 10.1109/59.575761
    显示于类别:[電機工程學系暨研究所] 期刊論文

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