GWO Controlled SEPIC Converter for Maximum Power Point Tracking of Solar Panel

Abstract

The utilization of solar power using photovoltaic (PV) modules is highly disrupted by weather changes that affect irradiation exposure to the modules. This condition later reduces the amount of harvested power and financial benefit of the PV system. Thus, maximum power point tracking (MPPT) is researched to increase the performance of PV systems. The proposed MPPT consists of a Single-Ended Primary-Inductor Converter (SEPIC) converter and Grey Wolf Optimizer (GWO) algorithm. SEPIC converter is used to provide lower ripple-power output while GWO is used to optimized the duty cycle of the SEPIC converter. The performance of the proposed method is compared to the Particle Swarm Optimization algorithm. To yield optimal power, the proposed method is proven to have optimal efficiency of 95.21 % with a standard deviation of 0.182 after 50 iterations.