Analysis of fault ride through the improvement of PV power plant based on artificial neural network

The increasing adoption of renewable energy sources in industrial areas, driven by the need to both obtain a grid voltage from and reduce high electricity bills, has led an increased demand for solutions that can improve power quality these systems. A photovoltaic plant (PVPP) based on dc-chopper circuit protection system is proposed enhancement PVPP. aim presented method protect panels PVPP harmful effects dc occurs during faults. adaptive neural network control applied T-type inverter system. implemented with 250 kW verify its validity simulation results fault. This approach potentially reliability stability PVPP, contribute maintain into grid.