A Comparative Study Between Fuzzy Logic and Particle Swarm Optimization Based on MPPT Algorithms

This paper conducts a thorough comparison of two popular Maximum Power Point Tracking (MPPT) algorithms: Fuzzy Logic Control (FLC) and Particle Swarm Optimization (PSO). The purpose is to compare and contrast their performance in optimizing photovoltaic (PV) systems for maximum energy extraction. The research includes modeling tests with real-world PV system data, considering various environmental variables and load profiles. Tracking speed, convergence accuracy, and robustness to environmental changes are all examined. The findings give useful insights for PV system designers, assisting them in selecting the best MPPT algorithm to improve renewable energy conversion efficiency.