High Performance Adaptive PSO MPPT Technique for PV Based Micro Grid for a Rural Area

As the world is switching over to renewable energy with solar energy as the most vital form of it, so it is essential to operate it in a manner that we can extract maximum efficiency from the photo voltic panels. But due to some uncalled for senarios when the PV panels are subjected to partial shading conditions its efficiency is greatly impacted. The MPPT here comes for its rescue, When PSC occurs the PV trajectories will be distinct and very complex due to various peaks available. The traditional MPPT techniques will fail to reach the Global Maximum Power Point and it usually stays at the Local Maximum Peak Point which surely would decline the performance and ability of the PV module. This research focuses on comparing the Particle Swarm Optimization approach and Perturb and Observe technique of MPPT for tracking peak power to identify the GMPP so as to attain the Maximum Power from the PV system. A rural area is selected as the demography of the location suits the proposed study . The load for the location is calculated and then both the algorithms are applied and there performance is analyzed in the study. The performance characteristics of the boost converter can be studied by varying its duty cycle with the two algorithms. This approach provides a high reliability robustness and proficiency towards MPP. The authenticity of this proposed algorithm was established using MATLAB/Simulink