Particle Swarm Based Optimization Algorithm for Maximum Power Point Tracking in Photovoltaic (PV) Systems

摘要

This paper sets forth a particle swarm based optimization algorithm aiding the maximum power tracking technique in PV systems which have to continuously deliver the maximum power to the load under various types of environmental conditions. Also, conventional perturb and observe (P&O) algorithm fails to trace global maximum power point (GMPP), while particle swarm optimization (PSO) algorithm tracks it efficiently. The proposed algorithm is verified using simulation results based on a 240 W photovoltaic system consisting of two KYOCERA KC 120 panels of 120W each connected in series. Finally, the PSO is contrasted with the P&O algorithm to determine its effectiveness in tracking GMPP.