Recognition of Branch Node Topology in Low Voltage Power Network Based on Meter Acquisition

The massive amount of meter measurement data brought by smart meters and remote meter reading technology makes it possible to carry out topology identification of low-voltage power supply networks. This paper proposes a topology identification method for low-voltage power supply network based on meter measurement data. The method defines the meters in the topology as branch node meters. According to the characteristics of power mu-tation, the feature is extracted by wavelet transform, and the connection relation of branch nodes is determined by similarity judgment. By using actual field data, an example analysis of a power supply network with 12 branch meters and 114 user meters is carried out, and the effectiveness of the method proposed in this paper is verified by the results.