A Line Loss Separation Method Based on Topology-aware Correlations and Nonlinear Impedance

Abstract

Abstract Due to the varying order and hierarchical relationship of different meters on the same line, the variation pattern of line loss and electricity consumption is not obvious, making it difficult to separate them accurately. To address this issue, an innovative method for line loss separation based on topological relationship perception and nonlinear impedance is proposed. Firstly, based on the topology recognition algorithm, we identify the order of the electricity meters and the relationship between the father and child-level electricity meters. Then, using the principle of topology relationship, we accurately measure the impact of the father and child level electricity meters on the overall line loss electricity quantity. Combined with data difference and matrix difference methods, the fixed loss value is offset. On this basis, a sliding window method is used to draw the curve change of nonlinear impedance and loss of electricity quantity. By analyzing the approximate continuous relationship between electricity consumption and line loss rate through curves, the line loss electricity consumption can be effectively separated. The results indicate that the proposed method has a better performance compared to other methods.