基于BP神经网络的输电线路故障起因识别  

The Identification of Fault Type in Transmission Lines on BP Neural Network

作　　者：李辉[1] 张园[2] 余江[2] 高宏慧[2] 

机构地区：[1]国电南瑞科技股份有限公司,江苏省南京市211106 [2]中国南方电网有限责任公司,广东省广州市510623

出　　处：《水电自动化与大坝监测》2014年第3期71-74,共4页HYDROPOWER AUTOMATION AND DAM MONITORING

摘　　要：针对高压输电线路故障征兆和故障特征的非线性特征,结合故障起因的分类方法,研究应用BP神经网络对高压输电线路的故障起因识别,设计了一个基于BP神经网络的输电线路故障起因识别实时系统,主要依靠事故环境下所发生的一系列实时序列信息进行分析,判断故障发生的原因。通过仿真和实际运行证明BP神经网络可以有效地运用到输电线路故障起因识别中。通过现有数据的收集,并对其进行分析,最终判断出电力系统故障产生的原因。Due to the high voltage transmission line fault symptoms and fault characteristics of the nonlinear characteristics,the combination of the causes of the fault classification method,studies the application of BP neural network for high voltage transmission line fault cause identification,designed a transmission line fault causes recognition based on BP neural network in real-time systems,rely mainly on accident environment by a series of real time sequence information analysis,determine the cause of the failure.The simulation and actual operation proves that the BP neural network can effectively used in power transmission line fault cause identification.Through the existing data collection,and carries on the analysis,finally determine the causes of electric power system fault.

关 键 词：高压输电线路 BP神经网络 故障起因识别 

分 类 号：TV734[水利工程—水利水电工程] TV698.1