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2025, 12, v.37 75-85
配电网多分支线路坐标化故障定位方法
基金项目(Foundation): 国家自然科学基金联合基金重点支持项目(U22B20113); 南方电网公司数字研究院有限公司科技项目(210002KK52222011)
邮箱(Email): 1371965416@qq.com;
DOI: 10.19635/j.cnki.csu-epsa.001628
摘要:

针对现有多分支线路故障定位方法易出现T型短分支线路故障判定死区的问题,提出一种配电网多分支线路坐标化故障定位方法。首先,通过将配电网拓扑线路映射至复平面,定义参考零点和划分实虚轴,根据复平面的线路结构建立拓扑向量矩阵;然后,通过任意两端装置计算故障相对距离,利用Dijkstra最短路径算法将故障相对距离转化为故障坐标,并建立故障坐标矩阵;进一步分析故障坐标矩阵中的元素特征,提出故障分支线路判定方法;最后,结合聚类算法对有效故障坐标进行聚类与划分,根据最优聚类实现故障点精确定位。仿真结果表明,当存在T型短线路及部分装置失效的情况时,所提方法仍能准确定位故障点,且不受故障位置及故障类型的影响。

Abstract:

Aimed at the issue of dead zones which may arise in the fault diagnosis of T-shaped short-branch lines when using the existing multi-branch line fault location methods,a coordinate-based fault location method for multi-branch lines in a distribution network is proposed in this paper. The distribution network topology is mapped onto a complex plane,the reference zero points are defined,and the real and imaginary coordinate axes are classified. Then,a topological vector matrix based on the line structure on the complex plane is established. By calculating the relative fault distance between any two terminal devices and applying the Dijkstra's shortest path algorithm to convert the relative fault distance into fault coordinates,a fault coordinate matrix is constructed. Furthermore,through the analysis of element characteristics in the fault coordinate matrix,a fault branch line identification method is put forward. Finally,a clustering algorithm is combined to cluster and classify the valid fault coordinates,achieving precise fault point location through the optimal clustering. Simulation results show that when there exists a T-shaped short-branch line and part of the device fails,the fault point can still be accurately located,and the location is not affected by the fault location or fault types.

参考文献

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基本信息:

DOI:10.19635/j.cnki.csu-epsa.001628

中图分类号:TM75;TP277

引用信息:

[1]邵杰,王有鹏,蔡田田,等.配电网多分支线路坐标化故障定位方法[J].电力系统及其自动化学报,2025,37(12):75-85.DOI:10.19635/j.cnki.csu-epsa.001628.

基金信息:

国家自然科学基金联合基金重点支持项目(U22B20113); 南方电网公司数字研究院有限公司科技项目(210002KK52222011)

投稿时间:

2025-02-10

投稿日期(年):

2025

终审时间:

2025-12-26

终审日期(年):

2025

审稿周期(年):

1

发布时间:

2025-05-14

出版时间:

2025-05-14

网络发布时间:

2025-05-14

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