School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China

In the background of distribution Internet of Things, the deployment of branch-box monitoring units further enhances the sensing capability of the low-voltage distribution network (LVDN), which provides a new path for the topology identification of LVDN. This paper proposes a topology identification method for low-voltage active distribution networks based on active power of branch, including identifying the hierarchical relations of branch nodes and obtaining the segment information of consumers. Firstly, the feature extraction is performed based on the time-frequency transformation of active power sequences, then the up-down, parallel, and phase sequence relations of branch nodes are obtained by using correlation analysis to construct the branch node adjacency matrix. Secondly, the distribution network is divided in the form of line segments based on branch hierarchy, and regression analysis method based on linear transformation is used to locate the segments which the consumers belong to. The consumer node incidence matrix is constructed. Then, the branch node adjacency matrix is jointly mapped with the consumer node incidence matrix to obtain the topological adjacency matrix, so as to realize the multi-layer topology identification of LVDN. Finally, the effectiveness of the proposed method is verified by testing the simulation model based on the low-voltage active distribution network.