Abstract: Many power utilities have problems with the quality of data about distribution network topology. This affects the operation and maintenance of smart grid, including outage management and line loss. The operation data, such as voltage data whose similarity has been analyzed to verify distribution network connectivity. The most commonly method used to evaluate similarity is correlation analysis. In this paper, correlation analysis and dynamic time warping(DTW) have been compared when used in distribution network connectivity verification. The results show that the data should be normalized and shifted when DTW is used. Although the result of DTW is more reliable in some cases compared with correlation analysis, the dispersion degree of the results of DTW is greater than correlation analysis.