Model-comparative Analysis of MPPT Algorithms for Control of DC/DC Converters Used in PV Systems

This paper aims to conduct a comprehensive model-comparative analysis of the commonly used and modern MPPT algorithms-Perturb and Observe (P&O), Fuzzy Logic Control (FLC), Particle Swarm Optimization (PSO), and Grey Wolf Optimization (GWO) when applied to DC/DC converters in PV systems. The study will evaluate the performance of these algorithms in terms of their tracking efficiency, response time, stability, and adaptability to varying environmental conditions. By systematically comparing these algorithms across different scenarios, this research seeks to provide a clearer understanding of their relative merits and limitations, ultimately aiding in the optimization of PV systems for maximum energy efficiency.