Automatic Fault identification in Grid Connected Photovoltaic System using Neural Network Controller

A significant reason for performance loss is fault occurring in the Photovoltaic (PV) system. Nowadays, with the availability of intelligent control techniques the faults can be identified easily. To identify the fault, Artificial Neural network controller is designed. The power injected to the grid by the photovoltaic system is decreased due to the faults occurring in the system. Usually the fault occurs in Photovoltaic panel, Maximum Power Point Tracking controller (MPPT), Boost converter, inverter and grid. The simulation is carried out on 50 kW PV system by means of Matlab to identify the fault.