Distribution area topology identification method based on DDTW distance and minimum-maximum distance algorithm

The invention relates to a power distribution area topology identification method based on a DDTW algorithm and a minimum and maximum distance algorithm. Firstly, a DDTW algorithm is adopted to carry out similarity analysis on time sequences of transformer low-voltage side voltage and user voltage, then clustering analysis is carried out on a user voltage curve based on a minimum and maximum distance principle, a transformer area to which low-voltage users belong is identified, and phase identification is carried out on the users in the same transformer area. According to the method, voltage time sequences with different time intervals and unequal lengths can be analyzed, the method is not sensitive to voltage data missing or abnormal data, and a threshold value does not need to be manually set, so that the technical problem that an existing transformer area identification method is poor in identification accuracy is solved. 本发明涉及一种基于DDTW算法与最小最大距离算法的配电台区拓扑辨识方法。首先采用DDTW算法对台变低压侧电压和用户电压的时间序列进行相似性分析，然后基于最小最大距离原则对