Reconfiguration and Analysis of PV Array based on Particle Swarm Optimization of Solar Plant

Abstract The major shortcoming in the extraction of electrical energy occurs due to partial shading over a limited area vast spread solar panels underpinning reduction efficiency. A number are interconnected series and parallel form photovoltaic (PV) array for large power plants shadow single cell deteriorates overall performance. As consequence, several peaks added P-V curve causing hotspots PV panels, degradation system, collapse tracking algorithms. In order minimize such issues an effective optimization technique is developed by reconfiguring which capable reaching full global point system under conditions. study proposes particle swarm (PSO) using characteristics Quaid-e-Azam Solar Plant (QASP) Punjab, Pakistan 1 . PSO, connections modules changed keeping their physical locations unaltered aiming improve performance system. After reconfiguration, algorithm finds best combination equalizing row currents followed comparison current, voltages, panels. proposed PSO proved be efficient method very less computational time increasing output shaded modules.