In this research, an artificial neural network (ANN)
controller design for connecting photovoltaic (PV) power system
to the grid is introduced. The proposed controller is trained over
a wide range of operating conditions. Time domain simulations of
a grid-tied three-phase inverter by an active power injection
subjected to major disturbance is investigated. To improve the
superiority of the proposed controller, the performances of the
developed ANN is compared with a conventional PI controller.
The simulated results prove the capability of the proposed ANN
controller to enhance the PV system performance over a wide
range of operating conditions.