Solar Energy Harvesting with Steady Output and Fast Maximum Power Point Tracking

Loke, Zhi Xiang (2022) Solar Energy Harvesting with Steady Output and Fast Maximum Power Point Tracking. Final Year Project (Bachelor), Tunku Abdul Rahman University College.

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Abstract

Maximum power point tracking is an algorithm implemented in the solar PV system to generate the maximum power that is available at the current irradiance level exposed to the PV panel. Under partial shading condition, the conventional method may fail to track the maximum power point due to multiple local power point occurs. A fixed perturbation size depending on its value will affect the tracking speed and power oscillation. The proposed algorithm has successfully tracked the maximum power point of the PV panel under partial shading condition with zero oscillation. It has the mechanism to detect for the partial shading of the PV panel. Furthermore, it also includes Particle Swarm Optimization to identify the region that locate the global maximum power point (GMPP) and perform hill climbing method with adaptive step size to reach the GMPP. MATLAB/Simulink is used for simulation studies and the simulation results showed that the proposed algorithm accurately tracks the global maximum power point with zero oscillation. The tracking speed of the proposed algorithm could be as fast as 0.2s and the tracking efficiency is nearly 100% of the desired maximum power output.