Faulty Feeder Detection for Distribution Networks With IIDGs Based on Path Graph and Graph Fourier Transform

A novel method for the detection of faulty feeders for distribution networks with inverter-interfaced distributed generators (IIDGs) during single-phase-ground(SPG) fault has been introduced. This method leverages the frequency domain features of the graph Fourier transform (GFT) of the associated path graph. Firstly, the impact of IIDGs on the transient zero-sequence current (TZSC) at the fault point is analyzed through the sequence network connection. Secondly, the TZSC in the selected frequency bands are studied by using the GFT analysis of the path graph, revealing distinct differences between faulty and healthy feeders. The GFT frequency domain characteristics for the path graph are extracted by employing the Hausdorff distance (HD) and Pearson correlation coefficient (PCC). The combination of the HD and PCC indexes, utilizing the Laplace distribution density curve, enables the identification of the faulty feeder through a comparative analysis of the areas formed by the resulting density curve. The simulation results demonstrate the ease of implementation, reliability in faulty feeder detection, and adaptability and robustness for different IIDG capacities, fault locations, transition resistances, and fault initial conditions.