GMPPT-based PSO-FLC for Solar PV Charging System
doi: 10.14456/mijet.2023.10
Keywords:
solar charging system, particle swarm optimization, global maximum power point tracking, fuzzy logic controllerAbstract
Solar-powered charging systems have gained increasing attention in various applications. However, ineffective charge regulation can degrade their performance, particularly under partial shading conditions (PSC). To address this problem, a global maximum power point tracking based on particle swarm optimization (GMPPT-PSO) jointly operated with an MPPT-based fuzzy logic controller is proposed. To achieve an optimal charge controller, the main parameters of the GMPPT-PSO are adaptively changed to catch the dynamic PSCs, and all fuzzy parameters are derived and optimized through another PSO to reduce complexity. As a result, the control fuzzy rules have significantly reduced by about 20%. When applied to the battery through constant current-voltage charge, the proposed controller provides a fast transient and reduces the steady-state oscillations that shorten the battery life more efficiently than the conventional controllers. In addition, energy utilization and charging efficiencies, power loss improvement, and charge time reduction are improved by up to 17%, 8%, 20%, and 20%, respectively, over the rest.
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