Optimizing Solar Battery Charging Through MPPT-Based Control Systems
摘要
Maximum power point tracking (MPPT) systems play a crucial role in optimizing power extraction from solar photovoltaic (PV) systems, particularly under varying temperature and irradiance conditions. This paper proposes a charge controller that integrates MPPT to enhance power output for battery storage applications. A DC–DC boost converter is utilized to step up the PV system’s voltage, enabling efficient battery charging. The study evaluates the performance of three MPPT techniques—Perturb and Observe (P&O), incremental conductance, and Particle Swarm Optimization (PSO)—under dynamic environmental conditions. Results indicate that the P and O technique, in conjunction with the boost converter, outperforms the other methods in terms of efficiency, response time, and output power.