Abstract: In the existing methods for the verification of distribution network connectivity， the suspicious outliers are usually regarded as independent individuals with binary attributes， which is difficult to effectively identify and validate local outlier groups which are correlated with each other. Therefore， a verification method for distribution network connectivity is proposed based on AP-LOF outlier group detection. Users are clustered into multiple clusters by introducing affinity propagation (AP) clustering， and all of the cluster centers are then detected by the local outlier factor (LOF) algorithm. In this way， the outlier groups can be accurately identified. The actual user voltage data of a power company are used in the case study， and the results demonstrate the applicability and effectiveness of the AP-LOF algorithm in the verification of distribution network connectivity.

Key words: voltage data analysis, distribution network connectivity verification, local outlier group detection, affinity propagation clustering, LOF algorithm