The topology of low-voltage distribution network is of great significance to realize the application functions such as line loss analysis

fault diagnosis

power theft early warning and demand response. Aiming at the problem of inaccurate and missing topology of low-voltage distribution network

a topology identification method of low- voltage distribution network based on segmented current characteristics and random forest algorithm is proposed. Firstly

based on the current similarity mechanism

the current characteristic index is proposed

and the current time series is segmented for feature extraction. Secondly

the feature vector set is generated according to the segmented current characteristics

and the topology recognition model based on random forest algorithm is established

which can quickly and effectively identify the relationship between users and transformers. Finally

an example is analyzed by using the measured data of the actual distribution network. The results show that the topology recognition accuracy of this method is 98.02%

the sample time is short

and it can quickly and effectively identify the topology relationship of low-voltage distribution network.