ANN-PSO Optimization of PV Systems Under Different Weather Conditions

Conventional maximum power point tracking (MPPT) techniques like Perturb& 0bserve perform ineffectively under partial shading condition due to its inability to effectively track the global maximum power point (GMPP). Particle swarm optimization (PSO) is a recent metaheuristic technique and has been used to extract maximum power from PV systems but takes time to iteratively locate the GMPP. This paper presents a novel hybrid ANN-PSO technique using series-connected distributed MPPT configuration. The simulation MPPT results using ANN- PSO configuration, PSO, and Perturb& observe (P& O) were compared with theoretical power values under different weather conditions to determine the most efficient MPPT method that can be considered for MPPT task in PV systems under uniform irradiance and partial shading conditions. Obtained results show that ANN-PSO can achieve the best performance.