基于故障行波沿线突变和模型匹配的辐射状配电网故障定位

束洪春; 刘佳露; 田鑫萃

doi:10.7500/AEPS20190522001

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基于故障行波沿线突变和模型匹配的辐射状配电网故障定位

研制与开发 | 更新时间：2025-06-16

- 基于故障行波沿线突变和模型匹配的辐射状配电网故障定位
- Fault Location of Radial Distribution Network Based on Sudden Changes of Fault Traveling Wave Along Line and Model Matching
- 电力系统自动化-方正平台 2020年44卷第9期页码：158-163
- 作者机构：
  
  昆明理工大学电力工程学院，云南省昆明市 650051
- 作者简介：
  
  束洪春(1961—)，男，博士，教授，博士生导师，主要研究方向：电力系统新型继电保护与故障测距、故障录波、数字信号处理器及其应用。E-mail：kmshc@sina.com.cn
  刘佳露(1996—)，女，硕士研究生，主要研究方向：配电网保护与自愈。E-mail：904341326@qq.com
  田鑫萃(1985—），女，通信作者，博士，副教授，主要研究方向：新型继电保护与故障测距。E-mail：1105479731@qq.com
- 基金信息：
  
  国家自然科学基金资助项目(51667010)
- DOI：10.7500/AEPS20190522001
  中图分类号：
- 收稿日期：2019-05-22，
  
  修回日期：2019-12-11，
  
  网络出版日期：2020-03-24，
  
  纸质出版日期：2020-05-10
- 稿件说明：
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束洪春,刘佳露,田鑫萃.基于故障行波沿线突变和模型匹配的辐射状配电网故障定位[J].电力系统自动化,2020,44(9):158-163.

SHU Hongchun,LIU Jialu,TIAN Xincui.Fault Location of Radial Distribution Network Based on Sudden Changes of Fault Traveling Wave Along Line and Model Matching[J].Automation of Electric Power Systems,2020,44(9):158-163.
束洪春,刘佳露,田鑫萃.基于故障行波沿线突变和模型匹配的辐射状配电网故障定位[J].电力系统自动化,2020,44(9):158-163. DOI： 10.7500/AEPS20190522001.

SHU Hongchun,LIU Jialu,TIAN Xincui.Fault Location of Radial Distribution Network Based on Sudden Changes of Fault Traveling Wave Along Line and Model Matching[J].Automation of Electric Power Systems,2020,44(9):158-163. DOI： 10.7500/AEPS20190522001.

摘要

针对辐射状配电网拓扑结构复杂，故障分支难以辨识等问题，文中在定义拓扑主干的基础上，利用主成分分析(PCA)和支持向量机(SVM)构造PCA-SVM模型提取故障电流行波的曲线簇特征，划分故障区段并定义为割集。然后，通过正、反向电压行波构造测距函数，提取行波突变点沿线分布特征，并根据突变点幅值、极性以及时窗和线长间的关系剔除无效突变点，甄别出有效突变点。对于无法剔除的干扰突变点，采用“测后模拟”结合故障支路判别式进一步滤除，甄别出有效突变点，从而实现辐射状配电网准确故障定位。最后，应用PSCAD仿真软件对不同分支的故障进行实验，结果表明所提方法能实现故障点的准确定位。

Abstract

Aiming at the problems of complex topology of the radial distribution network and difficult identification of faulty branch

based on the definition of the topological backbone

the principal component analysis (PCA)-support vector machine (SVM) model is constructed by PCA and SVM

which is used to extract the curve cluster characteristics of the fault current traveling wave

and the fault section is divided and defined as a cut set. Then

the ranging function is constructed by the relationship between the forward and reverse voltage traveling waves

the distribution characteristics of traveling wave along line are extracted

the invalid mutation points are filtered according to the relationship between the amplitude

polarity

time window and line length of the mutation point

and the effective mutation point is identified. For the extra mutation points that cannot be filtered out

the “post-test simulation” combined with the fault branch discriminant is further filtered to identify the effective mutation points and achieve accurate fault location of the radial distribution network. Finally

the PSCAD simulation software is used to simulate the faults of different branches and the results show that the proposed method can accurately locate the fault points.

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references

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基于自然频率的辐射状配电网分层分布式ANN故障定位方法