Due to the lag in technology and management, there is a widespread problem of inaccurate relationship between transformers and users in distribution transformers in the low-voltage station area, resulting in abnormal line loss statistics and outages in the station area. Issues such as the untimely notification of power recovery have seriously hampered the improvement of the O&M management level and customer satisfaction with electricity consumption. The traditional way of sorting out the relationship between households in transformer area districts by manpower is difficult, costly, and the accuracy is difficult to guarantee. Therefore, by researching the similarity of low-voltage users' voltage time series, a method for identifying the relationship between low-voltage stations and households based on LCSS-DBSCAN is proposed. First, the collected voltage data of the transformer and user are verified, and then the similarity between the voltage sequences is solved by the longest common subsequence method; Clustering was carried out to complete the identification of household-transformer relationship. Finally, the actual data of a pilot station in Henan Province was selected as the analysis sample to verify the effectiveness of the proposed method.

household-transformer relationship; self-check; LCSS; DBSCAN; low-voltage distribution network