通信电源技术2024,Vol.41Issue(20) :197-199.DOI:10.19399/j.cnki.tpt.2024.20.066

基于大数据分析的变电站电力通信网络故障定位方法

Fault Location Method of Transformer Substation Power Communication Network Based on Big Data Analysis

李红磊
通信电源技术2024,Vol.41Issue(20) :197-199.DOI:10.19399/j.cnki.tpt.2024.20.066

基于大数据分析的变电站电力通信网络故障定位方法

Fault Location Method of Transformer Substation Power Communication Network Based on Big Data Analysis

李红磊1
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作者信息

  • 1. 国网河南省电力公司超高压公司,河南郑州 450000
  • 折叠

摘要

变电站电力通信网络是电力系统安全稳定运行的关键基础设施.随着网络规模扩大和复杂度增加,传统故障定位方法已难以满足快速精准定位的需求.文章提出一种基于大数据分析的故障定位方法,通过智能分析海量运行数据,自动提取故障特征,构建故障定位模型.实验结果表明,该方法显著提高了故障定位准确率和效率,为变电站电力通信网络的智能化运维提供了新的解决方案.

Abstract

Substation power communication network is the key infrastructure for the safe and stable operation of power system.With the expansion of network scale and complexity,the traditional fault location method has been difficult to meet the needs of fast and accurate location.In this paper,a fault location method based on big data analysis is proposed.Through intelligent analysis of massive operation data,fault features are automatically extracted and a fault location model is constructed.The experimental results show that this method significantly improves the accuracy and efficiency of fault location,and provides a new solution for intelligent operation and maintenance of substation power communication network.

关键词

变电站/电力通信网络/故障定位/大数据分析

Key words

substation/electric power communication network/fault location/big data analysis

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出版年

2024
通信电源技术
武汉普天通信设备集团有限公司

通信电源技术

影响因子:0.389
ISSN:1009-3664
参考文献量3
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