Topology Checking Method for Low Voltage Distribution Network Based on Fuzzy C-Means Clustering Algorithm

In view of the difficulty of management and high cost caused by manually checking the topology relationship of the low-voltage distribution network, a method for checking the topology of low-voltage distribution networks based on Fuzzy C-Means clustering algorithm is proposed. First, the smart meter voltage sequence data of the users in the station area to be verified in the most recent period is extracted by the electricity information collection system. Then, the similarity of user voltage sequence curves is judged by using Pearson correlation coefficients. User sample set is based on GIS system. The user sample set generated by the clip is analyzed by using Fuzzy C-Means clustering algorithm, and the users who have identified the wrong identification of the station area are detected. Finally, according to the results of manual field verification, the correctness of the verification by the algorithm is judged.