全球能源互联网（英文）2020，Vol.3Issue(4)：324-334,11.DOI:10.14171/j.2096-5117.gei.2020.04.003
基于暂态主谐振频率分析的小电流接地故障定位方法
Small-current grounding fault location method based on transient main resonance frequency analysis
摘要
Abstract
The small-current grounding fault in distribution network is hard to be located because of its weak fault features. To accurately locate the faults, the transient process is analyzed in this paper. Through the study we take that the main resonant frequency and its corresponding component is related to the fault distance. Based on this, a fault location method based on double-end wavelet energy ratio at the scale corresponding to the main resonant frequency is proposed. And back propagation neural network (BPNN) is selected to fit the non-linear relationship between the wavelet energy ratio and fault distance. The performance of this proposed method has been verified in different scenarios of a simulation model in PSCAD/EMTDC.关键词
小电流接地故障定位/主谐振频率/双端小波能量比/反向传播神经网络Key words
Small-current grounding fault location/Main resonant frequency/Double-end wavelet energy ratio/Back-propagation neural network (BPNN)引用本文复制引用
Yongjie Zhang,Xiaojun Wang,Junjuan Li,Yin Xu,Guohong Wu..基于暂态主谐振频率分析的小电流接地故障定位方法[J].全球能源互联网（英文）,2020,3(4):324-334,11.基金项目
This work was supported by National Key R&D Program of China (2017YFB0902800) and Science and Technology Project of State Grid Corporation of China (52094017003D). （2017YFB0902800）
