Faulty Line Detection Method Based on Optimized Bistable System for Distribution Network

Faulty Line Detection Method Based on Optimized Bistable System for Distribution Network
复制标题

基于优化双稳态系统的配电网故障线路检测方法

DOI:
10.1109/tii.2017.2753227
复制
发表时间:
2018-04
影响因子:
12.3
通讯作者:
Zeng Zhihui
Zeng Zhihui
中科院分区:
计算机科学1区
文献类型:
--
作者:
Wang Xiaowei;Gao Jie;Chen Mingfei;Wei Xiangxiang;Wei Yanfang;Zeng Zhihui

文献摘要

参考文献

被引文献

相似文献

中性点非有效接地的配电网在我国称为小电流接地系统(SCGS)。当SCGS发生单相接地故障时,故障电流微弱,且噪声削弱了故障电流的特性,这都给故障线路检测带来困难。提出一种基于优化双稳态系统的SCGS故障线路检测方法。该方法分为两个步骤:1)利用粒子群优化算法优化势函数参数的优化双稳态系统,提取强噪声背景下的暂态零序电流(TZSC); 2)利用优化的双稳态系统和互相关系数提出了基于平方距离的故障线路检测准则,其中包含TZSC的波形差异和能量。仿真和现场实验证明,该方法能够在不同的信噪比、接地电阻、初始角度、故障线路、不平衡负载等多种故障情况下准确检测出故障线路。
The noneffectively neutral grounded distribution network is called small current to ground system (SCGS) in China. When single-phase to ground fault occurs in SCGS, the fault current is weak, and the noise impairs the feature of fault current, both of which make faulty line detection difficult. This paper presents a faulty line detection method for SCGS, based on optimized bistable system. The proposed method consists of two steps: 1) The optimized bistable system, whose potential function parameters are optimized by particle swarm optimization algorithm, is used to extract transient zero-sequence current (TZSC) in strong noise background; 2) the optimized bistable system and cross correlation coefficient are used to propose a faulty line detection criterion, it based on squared distance, which contains the waveform difference and energy of TZSC. Simulation and field experiments prove that the method can detect faulty line exactly with various fault situations, such as different signal-noise ratios, grounding resistances, initial angles, faulty lines and unbalanced load.
DOI: --
发表时间: 2012
期刊: Journal of Vibration and Shock
影响因子: --
作者:
Zhang Pan
通讯作者: Zhang Pan
DOI: 10.1109/tpwrd.2008.917924
发表时间: 2008-07
影响因子: 4.4
作者:
Xinzhou Dong;Shenxing Shi
通讯作者: Xinzhou Dong;Shenxing Shi
DOI: 10.1109/tpwrd.2016.2518738
发表时间: 2016-01
影响因子: 4.4
作者:
Wenhai Zhang;Y. Jing;Xianyong Xiao
通讯作者: Wenhai Zhang;Y. Jing;Xianyong Xiao
DOI: --
发表时间: 2016
期刊: --
影响因子: --
作者:
Z. Jianwen;Liu Yongjia;Liang Jing;Huang Yongping
通讯作者: Z. Jianwen;Liu Yongjia;Liang Jing;Huang Yongping
DOI: --
发表时间: 2013
期刊: Electric Power
影响因子: --
作者:
Chu Zheng-chao
通讯作者: Chu Zheng-chao