Abstract: In the low-voltage distribution network, the residual current in the distribution station area is closely related to the consumption behavior of users with wiring errors of neutral lines and grounding lines, while the normal users have little influence on the residual current in the distribution station area. In this paper, an identification method for users with wiring errors and leakage current based on correlation analysis of residual current in distribution station area is proposed, which identifies the users with wiring errors according to the internal relationship between the load current of the users with wiring errors and the total residual current in the distribution station area. First, the theoretical defects of abnormal user identification based on current amplitude regression analysis is pointed out. Then, the state equation and measurement equation are constructed by combining the real part time series data of the residual current and the user load current in the distribution station area. Kalman filter is used to estimate the state, and the correlation coefficient between the load current of each user and the residual current in the distribution station area is calculated to identify the users with wiring errors and leakage current. Finally, the validity of the proposed method is verified based on the verified actual data of the distribution station area with wiring errors and leakage current.