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    Suzhou Electric Appliance Research Institute
    期刊號: CN32-1800/TM| ISSN1007-3175

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    基于蜻蜓算法的含DG配電網故障區段定位研究

    來源:電工電氣發布時間:2020-01-21 09:21 瀏覽次數:991
    基于蜻蜓算法的含DG配電網故障區段定位研究
     
    鐘明智1,都洪基1,都晨2
    (1 南京理工大學 自動化學院,江蘇 南京 210094;2 江蘇方天電力技術有限公司,江蘇 南京 211102)
     
        摘 要:為了減少系統故障給配電網運行造成的影響,快速準確地對故障進行定位,對配電網故障定位算法進行了分析,提出了用于輻射狀含有DG配電網故障定位的二進制蜻蜓算法。介紹了蜻蜓算法求解配電網故障定位的具體步驟,并通過算例進行仿真分析說明,該算法能在配電網發生單點故障、多點故障和伴有部分開關信息畸變的情況下,均能夠得到準確結果。通過與粒子群算法比較,證明了蜻蜓算法在故障定位中的快速性和可靠性。
        關鍵詞:配電網;故障定位;蜻蜓算法;分布式電源
        中圖分類號:TM711     文獻標識碼:A     文章編號:1007-3175(2020)01-0017-04
     
    Research on Faults Section Location of Distributed Network with DG Based on Dragonfly Algorithm
     
    ZHONG Ming-zhi1, DU Hong-ji1, DU Chen2
    (1 School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China;
    2 Jiangsu Fangtian Power Technology Co., Ltd, Nanjing 2111 02, China)
     
        Abstract: To reduce the influence of system faults on the operation of distribution network, to locate the faults quickly and accurately and to carry out analysis to the distribution network faults location algorithm, this paper proposed the binary dragonfly algorithm of distribution network radial faults location with DG.Introduction was made to the specific steps which were used to solve the distribution network faults location with the dragonfly algorithm.The simulation analysis of examples shows that the algorithm can get accurate results in the case of single point faults, multi-point faults and partial switch information distortion.Compared with the particle swarm optimization, the dragonfly algorithm is proved to be fast and reliable in faults location.
        Key words: distribution network; fault location; dragonfly algorithm; distributed generation
     
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