Optimizing The Performance Of Photovoltaic Systems Under Non-uniform Irradiance Using ANN-MPPT Algorithm

Photovoltaic (PV) systems are usually designed based on the standard operating condition in a specific location. However, harsh environmental conditions impact the PV array during regular operation. One of these harsh conditions can be the non-uniform irradiance spatially or temporally. Herein, the maximum power point tracking (MPPT) systems are essential in maintaining the operation under the maximum possible conditions. Artificial neural network (ANN) techniques have attracted researchers’ attention as an up-to-date artificial alternative in MPPT algorithms. We demonstrated two PV systems, on-grid and off-grid, with a power capacity of 5 kW. The proposed ANN model showed enhanced performance concerning conventional ones with a minimum response time of 0.0075 se