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(wǎng)故障區(qū)段定位研究

來源:電工電氣發(fā)布時間:2020-01-21 09:21 瀏覽次數(shù):1032
基于蜻蜓算法的含DG配電網(wǎng)故障區(qū)段定位研究
 
鐘明智1,都洪基1,都晨2
(1 南京理工大學(xué) 自動化學(xué)院,江蘇 南京 210094;2 江蘇方天電力技術(shù)有限公司,江蘇 南京 211102)
 
    摘 要:為了減少系統(tǒng)故障給配電網(wǎng)運行造成的影響,快速準確地對故障進行定位,對配電網(wǎng)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(wǎng)故障定位的二進制蜻蜓算法。介紹了蜻蜓算法求解配電網(wǎng)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(wǎng)發(fā)生單點故障、多點故障和伴有部分開關(guān)信息畸變的情況下,均能夠得到準確結(jié)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(guān)鍵詞:配電網(wǎng);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
 
參考文獻
[1] 單寶峰. 含分布式電源的配電網(wǎng)故障診斷研究[D].青島:青島大學(xué),2018.
[2] 岳凱旋,王寶華. 基于螢火蟲算法的含DG配電網(wǎng)故障區(qū)段定位[J]. 智能電網(wǎng),2015,5(4):197-203.
[3] 馮登科,阮奇,杜利敏. 二進制布谷鳥搜索算法[J].計算機應(yīng)用,2013,33(6):1566-1570.
[4] 陳輝,周羽生,劉詩涵,等. 基于改進和聲算法的含DG配電網(wǎng)故障定位[J]. 電力科學(xué)與技術(shù)學(xué)報,2018,33(2):123-128.
[5] 黃知偉. 基于云粒子群算法的含DG配電網(wǎng)故障定位[D]. 武漢:湖北工業(yè)大學(xué),2016.
[6] 程璞. 基于粒子群算法的配電網(wǎng)故障定位研究[D].淮南:安徽理工大學(xué),2017.
[7] 李小魁,黃全振,黃明明. 基于蜻蜓算法的PID控制器參數(shù)優(yōu)化[J]. 現(xiàn)代電子技術(shù),2018,41(12):102-107.
[8] 吳偉民,吳汪洋,林志毅,等. 基于增強個體信息交流的蜻蜓算法[J]. 計算機工程與應(yīng)用,2017,53(4):10-14.