一种采用2级反向传播神经网络的输电线路故障测距方法

焦在滨 1; 宋新尧 1; 2; 李炳绪 1; 吴润东 3

doi:10.7652/xjtuxb201909009

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一种采用2级反向传播神经网络的输电线路故障测距方法

更新时间：2025-07-09

- 一种采用2级反向传播神经网络的输电线路故障测距方法
- A Fault Location Method for Transmission Line Based on Two-Level Back Propagation Neural Network
- 西安交通大学学报 2019年53卷第9期页码：61-69
- 作者机构：
  
  1. 西安交通大学电气工程学院,西安,710049
  2. 西安交通大学陕西省智能电网重点实验室,西安,710049
- 作者简介：
- 基金信息：
  
  : 2019-03-14。作者简介: 焦在滨(1976—),男,副教授,博士生导师。基金项目: 国家重点研发计划资助项目(2017YFB0902900)
- DOI：10.7652/xjtuxb201909009
  中图分类号： TM773
- 网络首发：2019-09-10，
  
  纸质出版：2019
- 稿件说明：
移动端阅览
焦在滨 1, 宋新尧 1, 2, 等. 一种采用2级反向传播神经网络的输电线路故障测距方法[J]. 西安交通大学学报, 2019,53(9):61-69.

A Fault Location Method for Transmission Line Based on Two-Level Back Propagation Neural Network[J]. 2019, 53(9): 61-69.
焦在滨 1, 宋新尧 1, 2, 等. 一种采用2级反向传播神经网络的输电线路故障测距方法[J]. 西安交通大学学报, 2019,53(9):61-69. DOI： 10.7652/xjtuxb201909009.

A Fault Location Method for Transmission Line Based on Two-Level Back Propagation Neural Network[J]. 2019, 53(9): 61-69. DOI： 10.7652/xjtuxb201909009.

摘要

针对输电线路的故障测距中过渡电阻及电气量测量误差影响测距精度的问题

提出了一种采用2级反向传播(BP)神经网络的输电线路故障测距方法。通过分析双端电气量随过渡电阻的变化情况

确定了双端电气量变化规律的区域特性

提出了基于过渡电阻分区后在不同区域分别进行精确定位的研究思路。利用第1级网络对双端电气量进行数据融合

将故障场景分为低阻故障和高阻故障

再利用第2级网络中的低阻故障测距网络和高阻故障测距网络分别对低阻故障和高阻故障的双端电气量进行数据融合

计算出精确的故障位置。对训练方法进行改进

在测量电气量中加入高斯白噪声信号来模拟含互感器误差的样本

将无误差样本和含误差样本组成的重复样本对作为训练样本

使训练后的BP神经网络对随机测量误差具备一定的适应能力。电磁暂态仿真结果表明:所提方法不受过渡电阻影响

在高阻故障情况下测距结果的最大误差仍然低于1%

且对随机误差具有较好的适应性

在输入电气量存在一定测量误差的情况下测距结果的最大误差低于2.5%

具有良好的应用前景。

Abstract

Aiming at the problem that transition resistance and measurement error affect the accuracy of fault location in transmission line

a novel method of fault location for transmission line based on two-level back propagation(BP)neural network is proposed.Analy-ing the change of the two-terminal electrical quantity with transition resistance

the regional characteristics of the change regularity of the two-level electrical quantity are determined

and the research idea of precise positioning in different regions is introduced.The first level network is used to fuse the two-terminal electrical quantity

and fault scenarios are divided into low-resistance fault and high-resistance fault.Low-resistance fault location network and high-resistance fault location network in the second level network are used to fuse the two-terminal electrical quantity of low-resistance fault and high-resistance fault respectively

and the accurate fault location is evaluated.Then the training method is improved

关键词

Keywords

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