Optimization of PV systems using ANN-PSO configuration technique under different weather conditions

Abstract: Conventional MPPT techniques like Perturb&observe perform ineffective under partial shading condition due to its inability to effectively track the global maximum power point (GMPP). Particle swarm optimization (PSO) technique is a recent meta-heuristic MPPT technique commonly used to extract maximum power from PV systems but takes time to iteratively locate the GMPP. This paper presents a novel use of hybrid ANNPSO technique implemented using series-connected distributive MPPT configuration approach. The results of ANN-PSO distributive MPPT, PSO, and Perturb&observe (P&O) technique were compared with theoretical power values under different weather conditions. This work was done 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 DMPPT configuration exhibited the best performance