电气技术2025，Vol.26Issue(2)：35-41,48,8.
基于小波熵的配电网线路运行工况特征基因库构建
Construction of a distribution network line operating condition characteristic gene bank based on wavelet entropy
摘要
Abstract
In order to improve the efficiency of identification and diagnosis of distribution network line faults and improve the reliability of power supply,this paper adopts a method based on wavelet entropy to construct a distribution network line operating condition characteristic gene bank.Firstly,the distribution network line simulation model is built to extract the operation data,and then,combined with the effective simulation data,the feature extraction algorithm model based on wavelet entropy is built,and finally,the characteristic gene bank is developed based on the feature data.The simulation results show that the feature extraction algorithm and characteristic gene bank based on wavelet entropy can effectively identify and diagnose a variety of operating conditions of distribution network lines,which meets the requirements of sustainable development of distribution network.关键词
配电网线路/小波熵/特征提取/特征基因库Key words
distribution network lines/wavelet entropy/feature extraction/characteristic gene bank引用本文复制引用
王良锋,李瑞,尚筱雅,李沁雪,邱泽锦..基于小波熵的配电网线路运行工况特征基因库构建[J].电气技术,2025,26(2):35-41,48,8.基金项目
国家自然科学基金-青年科学基金项目(62006052)广州市科技计划项目(202102020663)配网设备快速运维关键技术研究(2019KY046)广州市高等教育教学质量与教学改革工程课程教研室项目(2022KCJYS012)大学生创新创业训练计划项目(S20240138) （62006052）
