Method for Extracting Traveling Wave Pulse Characteristics in Power Distribution Networks Based on Phase Space Trajectory Analysis

Fault localization technology based on traveling wave theory has been widely applied in transmission lines. When applied to distribution network sites, due to their complex grid structures, relatively short line lengths, severe load fluctuations, and high line noise, corresponding improvement work needs to be carried out further. To achieve a better performance of traveling wave technology applying in power distribution network, this paper proposes a pulse characteristics extraction method based on the three-dimensional phase space trajectory analysis. Firstly, the eigenvalues analysis and KPCA method are used to compresses the traveling wave data and identifies suspected pulse sequences. Then, through the nonlinear time series analysis, the traveling wave sequences are transformed into three-dimensional phase space trajectories. Subsequently, this study also proposes the characteristic quantities that represent phase space trajectories. Finally, the effectiveness of the proposed method is validated through experimental data, whose characteristics are obtained by proposed method and used to fault type identification successfully.