“…The traditional arc-optic grounding fault identification method of the distribution network is based on the steadystate or transient electrical parameters and the set threshold (Chen et al, 2021), and in the fault identification method based on the transient electrical parameters, the characteristic parameters of the typical fault type are first extracted, including wavelet transform (WT) (Qin et al, 2018;Lin et al, 2019;Wei et al, 2020a), empirical mode decomposition (EMD) (Guo et al, 2019;Cai and Wai, 2022), and S transformation (ST) (Peng et al, 2019); Then, the arc ground fault is classified and identified by the pattern recognition method, mainly including the neural network method (Siegel et al, 2018;Du et al, 2019a), the Support Vector Machine (SVM) (Xia et al, 2019;Dang et al, 2022), the fuzzy control method (Zeng et al, 2016), the clustering (Wang et al, 2015), etc., in addition, the high-precision current transformer can be used to improve the fault identification ability (Paul, 2015), but the detection cost is also significantly increased.…”