Low Voltage Power Line Physical Topology Recognition Method Based on Data Drive

Abstract

Abstract The current traditional low-voltage power line physical topology identification method mainly detects the line pulse signal to identify the line topology, leading to poor identification effects due to the lack of correlation analysis of node voltage. A data-driven low-voltage power line physical topology identification method is proposed in this regard. The correlation between the node timing voltages is analyzed by exploring the voltage law to determine the connection between low-voltage power lines. The node resistance values are also calculated to convert the physical topology identification problem into a linear equation problem. In the experiments, the proposed method is verified for identification accuracy. The analysis of the experimental results shows that the proposed method has a low root-mean-square error and better recognition accuracy when recognizing the physical topology of low-voltage power lines.