Particle Swarm Optimization based Maximum Power Point Tracking Technique for Solar PV System under Partially Shaded conditions

Abstract

To attain peak power from a PV source, the maximum power point tracking (MPPT) approach is frequently used. The MPP of a photovoltaic (PV) system is not constant since its output characteristics are dependent on numerous parameters. Partial shading causes significant changes in the PV system's attributes, and it often shows several local maxima as well as global maxima. Due to the development of local maxima, traditional MPPT methods fail in partial shade situations. Due to partial shade, solar systems frequently have hot spots, which not only disrupt system yield power but also compromise the system's dependability and safety. Due to the existence of many peaks in the P-V curve under partial shade, the traditional MPPT becomes stuck in local maxima rather than the global peak. As a result, sophisticated MPPT systems are required to accurately track the real peak power despite changing temperature and irradiation circumstances. To accomplish this, this study proposes a tracking scheme based on particle swarm optimization (PSO). The suggested MPPT is simple, versatile, precise, and economical, and it can track global MPP even when partially shaded. The proposed algorithm's performance is examined in MATLAB Simulink to test the effectiveness of the recommended MPPT technique. © 2021 IEEE.