计算机应用与软件2024,Vol.41Issue(10) :95-103,109.DOI:10.3969/j.issn.1000-386x.2024.10.015

基于物联网边缘计算的配电网故障定位方法

DESIGN AND APPLICATION OF DISTRIBUTION NETWORK FAULT LOCATION METHOD BASED ON IOT EDGE COMPUTING

徐策 王俊江 钟浩 陈斌 魏瑛辰
计算机应用与软件2024,Vol.41Issue(10) :95-103,109.DOI:10.3969/j.issn.1000-386x.2024.10.015

基于物联网边缘计算的配电网故障定位方法

DESIGN AND APPLICATION OF DISTRIBUTION NETWORK FAULT LOCATION METHOD BASED ON IOT EDGE COMPUTING

徐策 1王俊江 2钟浩 1陈斌 1魏瑛辰1
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作者信息

  • 1. 山东理工大学电气与电子工程学院 山东淄博 255049
  • 2. 山东科汇电力自动化股份有限公司 山东淄博 255087
  • 折叠

摘要

泛在电力物联网背景下,沿用传统配电网故障定位运行方式数据规模急剧扩大,并且定位速度慢、精度低,因此提出一种与边缘计算相适应的故障定位新方法.依托配电 自动化系统,采用边缘计算的智能分布式Agent模式,通过电网络拓扑自动识别App和矩阵-果蝇优化算法App的交互,在保证定位速度和精度的前提下缓解主站压力,大大提高故障定位可靠性.MATLAB仿真实验的结果表明,对同一个网络拓扑,该方法与传统定位方法相比具有更快的定位速度和较高的精度.

Abstract

In the context of the UEP-IoT,the data scale of the traditional distribution network has been expanded sharply,and the location speed is slow and the accuracy is low.Therefore,a new fault location method adapted to edge computing is proposed.Relying on the distribution automation system,we used the intelligent distributed Agent mode of edge computing,and the interaction between App and matrix-fruit fly optimization algorithm App was automatically recognized through the electric network topology,so that the pressure on the main station was relieved under the premise of ensuring the location speed and accuracy,which greatly improved the reliability of fault location.The results of MATLAB simulation experiments show that for the same network topology,the proposed method has faster location speed and higher accuracy than traditional location methods.

关键词

泛在电力物联网/故障定位/边缘计算/矩阵-果蝇优化算法/可靠性

Key words

UEP-IoT/Fault location/Edge computing/Matrix algorithm-fruit fly optimization algorithm/Reliability

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基金项目

国家重点研发计划项目(2017YFB0902800)

出版年

2024
计算机应用与软件
上海市计算技术研究所 上海计算机软件技术开发中心

计算机应用与软件

CSTPCD北大核心
影响因子:0.615
ISSN:1000-386X
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