Maximum Power Point Tracking for PV Systems: A Comparison of Perturb & Observe and Fuzzy Logic Control

The purpose of this research paper is to explore different approaches to maximize power point tracking (MPPT) in photovoltaic (PV) systems. In this work, we evaluate and compare incremental conductance (InC) and fuzzy logic control techniques. To extract the highest amount of power, a DC/DC boost converter is employed between the PV system and the load. Traditional MPPT techniques like InC have demonstrated limitations in effectively identifying and precisely tracking the highest peak, leading to significant power losses, Therefore, a proposed approach called fuzzy logic control is recommended, which provides several advantages including robustness against parameter variations, minimal distortion in current output, and superior reference tracking. Simulation results conducted in MATLAB confirm that the suggested control method effectively reduces steady-state fluctuations and achieves improved tracking of the maximum power point with reduced power losses compared to InC control.