There is a problem of errors in identifying the topology of a low-voltage distribution station area. Thus a topology identification method based on Dynamic Time Warping (DTW) distance and cluster analysis is proposed. First, the DTW distance between voltage sequences is used to measure the similarity between voltage curves. Then, based on the principle of minimum and maximum DTW distance, cluster analysis is carried out on the voltage sequence data of users in a low-voltage distribution station area to identify which station the user belongs to in the area, and then this paper performs phase identification for users in the same station area. The method can measure voltage time series with different time intervals and lengths, is not sensitive to missing voltage or abnormal data, does not need to set a threshold artificially, and has high accuracy in topological structure identification. Finally, a simulation analysis of an example verifies the correctness and effectiveness of the proposed method. This work is supported by the Strategic Emerging Industry Science and Technology Research and Major Science and Technology Achievement Transformation Project of Hunan Province (No. 2018GK4025) and the Natural Science Foundation of Hunan Province (No. 2019JJ60012).