电器与能效管理技术Issue(11)：28-34,7.DOI:10.16628/j.cnki.2095-8188.2023.11.005
基于CNN的小电流接地故障多判据融合选线方法
Multi Criterion Fusion Method for Small Current Grounding Fault Line Selection Based on CNN
摘要
Abstract
Aiming at the problems of difficult fault line selection and slow detection for the small and medium current grounded systems in distribution networks,a multi criterion fusion method for line selection of small current single-phase ground fault based on convolutional neural networks(CNN),Fourier transform and wavelet packet decomposition is proposed.CNN is applied to the problem of line selection for small current single-phase ground fault.Some components of the zero-sequence current of each line after processing are taken as input,and the fault line is taken as output.After a large amount of data training,the mathematical model of the fault line is obtained.When the new fault data is input into the model,the fault lines can be selected based on the mapping relationship.Finally,the feasibility of the proposed method is verified by the simulation using MATLAB/Simulink.关键词
故障选线/小电流接地/卷积神经网络/多判据融合Key words
fault line selection/small current grounding/convolutional neural network(CNN)/multi criterion fusion分类
信息技术与安全科学引用本文复制引用
唐亮星,李洪江,刘鑫,周庭栋,李盼盼..基于CNN的小电流接地故障多判据融合选线方法[J].电器与能效管理技术,2023,(11):28-34,7.基金项目
云南电网公司科技计划资助项目(YNKJXM20220105) （YNKJXM20220105）
