A fault location method for a distribution network with DG based on a hierarchical location model

被引：0
|
作者：
Li W. [1 ]
Tong X. [1 ]
Huang C. [1 ]
Peng Y. [1 ]
Ji D. [1 ]
Wang J. [2 ]
机构：
[1] State Grid Shanghai Chongming Electric Power Company, Shanghai
[2] State Grid Shanghai Pudong Electric Power Company, Shanghai
来源：
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2022年 / 50卷 / 24期
关键词：
distributed power supply; distribution network; fault location; immune algorithm; layered model;
D O I：
10.19783/j.cnki.pspc.220372
中图分类号：
学科分类号：
摘要：
Aiming at the problems of long time consuming and low accuracy of existing fault location algorithms in distribution network with DG, a hierarchical model combined with an improved immune algorithm is proposed for distribution network fault location with DG. This paper simplifies the distribution network model, uses the improved immune algorithm to locate the fault area, and uses it again to locate the fault area again. The advantages of the proposed method are verified by analyzing single point fault and multi-point fault through experiment. The experimental results show that compared with the traditional fault location methods, the proposed method introduces the hierarchical theory, which effectively reduces the search dimension of fault nodes and has high fault location accuracy while ensuring the speed. © 2022 Power System Protection and Control Press. All rights reserved.
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页码：160 / 166
页数：6
相关论文
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  • [1] LI Lianbing, SUN Tengda, ZENG Siming, Et al., Fault location method for distribution networks based on traveling wave time difference, Power System Protection and Control, 50, 3, pp. 140-147, (2022)
  • [2] JIANG Yuan, LI Qing, FENG Qian, Et al., Fault location and protection method for DC power grid based on BP neural network, High Voltage Apparatus, 56, 8, pp. 23-28, (2020)
  • [3] YANG Chenxi, MA Jie, YANG Wei, Et al., Distribution network fault location method based on the sudden drop ratio of feeder active load, Power System Protection and Control, 50, 2, pp. 144-151, (2022)
  • [4] YU Yi, YIN Liju, SHEN Jin, Et al., Fault location in distribution network with distributed generation based on improved integer programming, Smart Power, 48, 3, pp. 104-108, (2020)
  • [5] LIU Yu, WANG Junjiang, JIAO Qing, Et al., Fault location of distribution network with distributed power supply based on quantum behavior particle swarm optimization algorithm, Smart Power, 48, 8, pp. 51-55, (2020)
  • [6] WANG Weizhang, WANG Chun, YIN Fagen, Reachability matrix and Bayes' theorem based fault section location of power distribution network with distributed generation, Electric Power, 54, 7, pp. 93-99, (2021)
  • [7] XU Yanchun, ZHAO Caicai, SUN Sihan, Et al., Fault location for active distribution network based on improved LMD and energy relative entropy, Electric Power, 54, 11, pp. 133-143, (2021)
  • [8] LIANG Mengke, LIU Yuan, HAN Wenwen, Et al., Fault location method of active distribution networks based on virtual current injection technology, Zhejiang Electric Power, 38, 6, pp. 9-16, (2019)
  • [9] HOU Ligang, TANG Xianghua, JIANG Hui, Et al., A novel traveling wave fault location method applied to distribution networks with hybrid line composed of overhead line and cable, Electric Power Engineering Technology, 38, 2, pp. 111-116, (2019)
  • [10] DONG Manling, GUO Lei, DING Guojun, Et al., Design and application of the fault location device of the grounding grids based on cyclic voltage measurement method, Electric Porcelain Arrester, 5, pp. 111-117, (2019)
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