Elaboration of a Cauchy PSO based on MPPT for photovoltaic systems in comparison with classical MPPT techniques in partial shading scenarios.

Abstract

To different environmental circumstances, the solar cells' output power exhibits a nonlinear current-voltage characteristic. Photovoltaic (PV) systems use Maximum Power Point Tracking (MPPT) to optimise their output power. In this study, a novel MPPT controller is suggested. The MPPT design is approached as an optimisation issue, the solution to which is found by using Cauchy PSO to determine the ideal controller settings. According to simulation data, the suggested method maximises the photovoltaic system's power output under a variety of environmental circumstances. Particle Swarm Optimisation (PSO) and the created Cauchy PSO method work similarly. This method has the benefit of providing the globally best-optimized output at a quicker rate of convergence. It can monitor the MP in variable load scenarios and harsh weather conditions. In addition to having a simpler structure, the suggested technique performs better in terms of rapid convergence than the normal PSO and some of the other methods.