基于图论的配电网故障行波定位新算法

WANG Yang; ZENG Xiangjun; LI Ruifeng; LIU Qianqian

您当前的位置：

首页 >

文章列表页 >

基于图论的配电网故障行波定位新算法

更新时间：2025-08-13

- 基于图论的配电网故障行波定位新算法
- Automation of Electric Power Systems Vol. 36, Issue 18, Pages: 143-147(2012)
- 作者机构：
  
  1. 智能电网运行与控制湖南省重点实验室，长沙理工大学,湖南省,长沙市,410076
  2. 新乡供电公司,河南省,新乡市,453002
  3. 广东电网公司珠海供电局,广东省,珠海市,519000
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2012
- 稿件说明：
移动端阅览
WANG Yang, ZENG Xiangjun, LI Ruifeng, et al. [J]. Automation of electric power systems, 2012, 36(18): 143-147.
DOI：

WANG Yang, ZENG Xiangjun, LI Ruifeng, et al. [J]. Automation of electric power systems, 2012, 36(18): 143-147. DOI：

摘要

配电网结构复杂，分支多，故障点定位困难。传统基于输电线路单端或双端信息的故障定位算法难以满足配电网高精度故障定位要求。提出了基于多端时间信息的配电网故障行波定位新算法，构建了配电网关联矩阵和距离矩阵，给出了故障分支的判别方法;基于二叉树模型，根据配电网末端的行波到达精确时间信息和配电网拓扑结构矩阵，剔除无效行波波头时间，综合利用有效的行波波头时间信息，实现配电网故障的实时精确定位。EMTP仿真结果表明，该方法能实现配电网故障的准确定位。

Abstract

In view of the incapability of the traditional traveling wave fault location method for transmission lines of meeting the requirement on high precision location of the distribution network that is complex and profusely branching in structure， a new traveling wave fault location method based on multiple time information is proposed. The incidence matrix and distance matrix are built to judge the selection of fault. Based on the model for the location binary tree， the algorithm only uses time information and the structure of the distribution network to delete the ineffective arrival time of traveling wave and realize accurate fault location. EMTP simulation results show that the method has fairly high fault location precision and can meet the requirements of power network operation.

关键词

Keywords

references

Views

3807

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Fault Line Selection and Location Method Based on Synchrophasor Measurement Unit for Distribution Network

Detection and Location Method of Single-phase-to-ground Fault in Distribution Network Based on Zero-sequence Transient Fault Component

Fast Fault Back-tracing Method for Large-scale Complex Distribution Networks Based on Dynamic Graph Projection

Related Author

Feng DENG

Xiangjun ZENG

Li YU

Yu MAO

Peng LI

LI Lin

GAO Houlei

YUAN Tong

Related Institution

College of Electrical and Information Engineering, Changsha University of Science & Technology

Digital Grid Research Institute of China Southern Power Grid

Electric Power Research Institute of China Southern Power Grid

School of Electrical Engineering, Shandong University

School of Electrical and Information Engineering, Jiangsu University

⁰