Implementation of Particle Swarm Optimization Based Maximum Power Point Tracking of Solar Photovoltaic Array Under Non Uniform Insolation Conditions

摘要

This paper presents a Global Maximum Power Point Tracking (GMPPT) for a series connected Solar Photovoltaic Array (SPVA) under mismatched irradiance conditions/partially shaded conditions using Particle Swarm Optimization (PSO) technique. Partial shaded SPV modules produce several local maximum power points, which makes the tracking of the global maximum power point a difficult task. Most of conventional tracking methods fail to work properly under these non uniform insolation conditions. Some methods proposed in the literature track the global peak (GP) with some limitations. This paper proposes PSO based GP tracking with the objective of maximizing the power. This method tracks GP by finding the optimum value of SPVA current which maximizes the total power extracted from SPVA. The proposed method is checked for different shading patterns through simulation and verified through experimentation using TMS320LF2407 DSP. The results show the effectiveness and robustness of the proposed optimization approach.