南方电网技术2024，Vol.18Issue(5)：124-134,11.DOI:10.13648/j.cnki.issn1674-0629.2024.05.012
基于多元数据特征的低压配电网线户关系识别
Identification Method of Feeder-Consumer Connectivity in Low-Voltage Distribution Network Based on Multivariate Data Feature
摘要
Abstract
To solve the problem that feeder-consumer connectivity is difficult to be efficiently identified and accurately checked due to the monotonous and large-scale measurement data,a method of identifying feeder-consumer connectivity in low-voltage distribu-tion network based on multivariate data feature is proposed.Firstly,the correlation of outage equipment is analyzed,and the abnormal data preprocessing method based on fuzzy C-means algorithm,threshold division and Neville interpolation is proposed for smart meter sampling anomalies.Secondly,a clustering method of smart meters based on outage correlation and Hausdroff distance is proposed.Thirdly,based on Kirchhoff's current law,a quadratic programming model for the identification of feeder-consumer con-nectivity is established,which is effectively solved by a solver after transformation.Finally,the effectiveness and superiority of the proposed identification method of feeder-consumer connectivity are verified by a practical example.关键词
低压配电网/线户关系/多元数据特征Key words
low-voltage distribution network/feeder-consumer connectivity/multivariate data feature分类
信息技术与安全科学引用本文复制引用
郑雅文,李巍,易启淋,刘亦朋,周歧林,白浩..基于多元数据特征的低压配电网线户关系识别[J].南方电网技术,2024,18(5):124-134,11.基金项目
国家自然科学基金资助项目(新型配电系统数字孪生基础理论与方法研究)(U22B2096) （新型配电系统数字孪生基础理论与方法研究）
中国南方电网有限责任公司科技项目(030102KK52220003). Supported by the National Natural Science Foundation of China(U22B2096) （030102KK52220003）
the Science and Technology Project of China Southern Power Grid Co.,Ltd.(030102KK52220003). （030102KK52220003）
