电力系统自动化2024，Vol.48Issue(3)：133-141,9.DOI:10.7500/AEPS20230419005
基于多特征符号聚合近似和层次聚类的户变关系识别方法
Identification Method for User-transformer Relationship Based on Multi-feature Symbolic Aggregate Approximation and Hierarchical Clustering
摘要
Abstract
In view of the possible problem of wrong user-transformer relationships in the topology file of the low-voltage distribution station area,this paper proposes a user-transformer relationship identification method based on multi-feature symbolic aggregate approximation(MF-SAX)and hierarchical clustering.First,the symbolic aggregate approximation expression method is used to convert the user voltage time series into string series,and two additional parameters,i.e.,the voltage fluctuation coefficient and the voltage change trend,are introduced to strengthen its feature expression.Then,the similarity matrix of the user voltage curves is generated based on the edit distance,and the hierarchical clustering algorithm is combined to realize the identification of the user-transformer relationships.Finally,the results of the practical case show that,compared with some existing methods,the proposed method achieves higher accuracy and fewer false alarms,which can directly respond to missing data situations,and has higher efficiency.关键词
低压配电台区/户变关系/层次聚类/拓扑识别/电压曲线相似性Key words
low-voltage distribution station area/user-transformer relationship/hierarchical clustering/topology identification/similarity of voltage curves引用本文复制引用
周赣,茅欢,冯燕钧,华济民,曾瑛..基于多特征符号聚合近似和层次聚类的户变关系识别方法[J].电力系统自动化,2024,48(3):133-141,9.基金项目
广东省重点领域研发计划资助项目(2020B0101130023). This work is supported by Key-area Research and Development Program of Guangdong Province(No.2020B0101130023). （2020B0101130023）
