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Maximum power point tracking is essential for utilization of more amount of solar irradiation. Partial Shading condition is one of the reason behind not getting maximum power point. Partial shading condition may cause due to trees, chimney, clouds and so on. Due to partial shading, multiple peaks occurs in P-V characteristics of PV array. Conventional maximum power point algorithms are not able to track the maximum power point. To overcome this drawback, Particle swarm optimization algorithm is used for maximum power point tracking. Improved version of PSO also used in given paper for better results. In this paper comparative study of particle swarm optimization is done.In this paper particle swarm optimization with time varying inertia weight(PSO-TVIW) is applied for maximum power point tracking(MPPT). Results of classical PSO(particle swarm optimization) and POS-TVIW have analyzed. Effectiveness of both the algorithm have studied. Simulation of the PV system is done using MATLAB/Simulink.
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