This　paper　presents　a　novel　approach　that　simultaneously　enables　photovoltaic　(PV)　inversion　and　flexible　arc　suppression　during　single-phase　grounding　faults.　Inverters　compensate　for　ground　currents　through　an　arc-elimination　function,　while　outputting　a　PV　direct　current　(DC)　power　supply.　This　method　effectively　reduces　the　residual　grounding　current.　To　reduce　the　dependence　of　the　arc-suppression　performance　on　accurate　compensation　current-injection　models,　an　adaptive　fuzzy　neural　network　imitating　a　sliding　mode　controller　was　designed.　An　online　adaptive　adjustment　law　for　network　parameters　was　developed,　based　on　the　Lyapunov　stability　theorem,　to　improve　the　robustness　of　the　inverter　to　fault　and　connection　locations.　Furthermore,　a　new　arc-suppression　control　exit　strategy　is　proposed　to　allow　a　zerosequence　voltage　amplitude　to　quickly　and　smoothly　track　a　target　value　by　controlling　the　nonlinear　decrease　in　current　and　reducing　the　regulation　time.　Simulation　results　showed　that　the　proposed　method　can　effectively　achieve　fast　arc　suppression　and　reduce　the　fault　impact　current　in　single-phase　grounding　faults.　Compared　to　other　methods,　the　proposed　method　can　generate　a　lower　residual　grounding　current　and　maintain　good　arc-suppression　performance　under　different　transition　resistances　and　fault　locations.