兵工自动化2025，Vol.44Issue(8)：34-40,7.DOI:10.7690/bgzdh.2025.08.008
基于小波变换的配电网拓扑识别与优化
Topology Identification and Optimization of Distribution Network Based on Wavelet Transform
摘要
Abstract
Aiming at the problem that the traditional distribution network topology identification method can not meet the efficiency and accuracy in complex environment,a low-voltage distribution network topology identification method based on wavelet transform(WT)is proposed.The connection topology of single-phase and three-phase users is accurately identified by using the data of smart meters and the measured values of substation feeders,combined with the multi-scale feature extraction technology of wavelet transform.Through the experimental verification,under the conditions of different network observability and high penetration of renewable energy,the topology identification shows superior robustness and efficient computational performance,and can effectively adapt to the complex situations of unbalanced and incomplete observation in the power system.The results show that the method has high recognition accuracy and is suitable for the practical application of the power distribution network.关键词
配电网/智能电表/数据分析/拓扑识别Key words
distribution network/smart meter/data analysis/topology identification分类
信息技术与安全科学引用本文复制引用
华陈君,陆志刚,秦婕,滕昕颖..基于小波变换的配电网拓扑识别与优化[J].兵工自动化,2025,44(8):34-40,7.基金项目
国网江苏省电力有限公司科技项目(J2024197) （J2024197）
