基于粗糙集和BP神经网络算法的配电网断电故障排除方法  

Fault elimination method of distribution network outage based on RS and BP neural network algorithm

作　　者：靳盘龙 张斌 徐鹏飞 张亚鹏 申雅茹 Jin Panlong;Zhang Bin;Xu Pengfei;Zhang Yapeng;Shen Yaru(Economic and Technological Research Institute,State Grid Ningxia Electric Power Co.,Ltd.,Yinchuan 750000,China)

机构地区：[1]国网宁夏电力有限公司经济技术研究院,宁夏银川750000

出　　处：《现代科学仪器》2021年第4期220-223,共4页Modern Scientific Instruments

基　　金：国网宁夏电力有限公司经济技术研究院专题研究项目(SGNXJY00DGJS2000022)。

摘　　要：针对当前配电网中故障排除准确度不高,故障排除速度慢等问题,提出一种基于粗糙集和BP神经网络算法的配电网断电故障排除方法。通过建立基于层次分类的多层神经网络,确定配电网断电故障诊断排除过程,同时,以C/S架构为基础,以数据库为核心,针对系统框架,分析系统易出现的故障及解决的关键技术,确定配电网中故障排除系统设计方案。实验结果表明,所提方法设计的系统能够准确对配电网断电故障进行定位诊断排除,并且耗时较短,保证了故障排除的及时性,确保了配电网的可靠性运行。Aiming at the problems of low accuracy and slow speed of troubleshooting in current distribution network,a method of troubleshooting power failure in distribution network based on rough set and BP neural network algorithm is proposed.Through the establishment of hierarchical classification-based multi-layer neural network,the diagnosis and elimination process of power failure in distribution network is determined.At the same time,based on C/S architecture,taking database as the core,aiming at the system framework,the system's easy faults and key technologies to solve them are analyzed,and the design scheme of power failure elimination system in distribution network is determined.Experimental results show that the system designed by the proposed method can accurately locate and diagnose the power failure in distribution network,and it takes less time to ensure the timeliness of troubleshooting and the reliable operation of distribution network.

关 键 词：粗糙集 BP神经网络 配电网 断电故障 可靠性 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]