基于模糊神经网络的小电流接地系统单相接地故障定位研究  

Research on Fuzzy Neural Work Based Method for Fault Location in Neutral Isolated Power System

作　　者：肖波[1] 张显 王西伟[3] 刘君 

机构地区：[1]贵州师范大学机电工程学院,贵州贵阳550002 [2]贵州黔源电力股份有限公司,贵州贵阳550002 [3]福建省电力有限公司漳州电业局,福建漳州363000 [4]贵州电力试验研究院,贵州贵阳550002

出　　处：《仪表技术与传感器》2014年第3期65-67,共3页Instrument Technique and Sensor

基　　金：贵州省科学技术基金(黔科合J字[2011]2109号)

摘　　要：针对小电流接地系统单相接地故障定位难的问题,提出了一种利用改进的基于梯度的神经-模糊学习算法故障定位新方法。构造了一个由输入层、语言项层、规则层、输出层组成的模糊神经网络,通过该算法大大减小了过渡电阻对故障定位的影响。仿真结果表明,所提出的基于梯度的神经-模糊理论、模型及算法具有较好的故障定位性能。For the the difficulty of location about single-phase to ground fault occurred in small current neutral grounding system,we put forward a new way to use improved neural-fuzzy learning algorithm,which is based on gradient for fault location.The article constructs a fuzzy neural network,which includes the input layer,language layer,rule layer and output layer.With the algorithm,it greatly decreases the influence of transition resistance on fault location.The simulation results show that the presented neural-fuzzy theory,which is based on the gradient,the model and the algorithm have a better performance of fault location.

关 键 词：小电流接地系统 单相接地 故障定位 模糊神经网络 过渡电阻 故障点 

分 类 号：TM743[电气工程—电力系统及自动化]