A method for locating fault sections in distribution networks based on the comparison of state estimation residual errors

被引:0
作者
Wang L. [1 ,2 ]
Deng Z. [1 ,2 ]
Ma M. [1 ,2 ]
Wang X. [3 ]
Yang D. [3 ]
机构
[1] Guangdong Power Grid Co., Ltd. Electric Power Research Institute, Guangzhou
[2] Key Laboratory of Power Quality of Guangdong Power Grid Co., Ltd., Guangzhou
[3] Shenzhen Zhongdian Power Technology Co., Ltd., Shenzhen
来源
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2021年 / 49卷 / 14期
基金
中国国家自然科学基金;
关键词
Distribution network; Fault location; Impedance angle; Residual comparison; State estimation; Weighted least squares;
D O I
10.19783/j.cnki.pspc.200438
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In order to solve the problem of pseudo-fault points in fault location in a distribution network with radial networks based on the single terminal impedance method, a fault section location method based on residual comparison of state estimation is proposed. This is based on the monitoring information provided by distributed intelligent measurement equipment in the network. This method first traverses all nodes and establishes the state equations of different node fault networks by adding faulty branches. Secondly, the total residual detection value sequence containing all nodes of the network is obtained by solving the state estimation equation. Then the faulty node is identified by detecting the node with the maximum residual detection value. Finally, the fault section is determined according to the phase difference of impedance angle between the head and the end of adjacent sections. A large number of simulations show that the proposed method produces good fault location with different fault types, transition resistance and other working conditions. The method takes into account the random variable components generated by the measurement, and uses the complementarity and multi-sources of the measurement data of different attributes to improve to some extent the anti-interference ability of different measurement data errors. This greatly reduces the fault finding range of the distribution network under limited measurement conditions. © 2021 Power System Protection and Control Press.
引用
收藏
页码:132 / 139
页数:7
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