An Intelligent Hybrid MPPT Strategy Combining Fuzzy Logic and Perturb & Observe Algorithms

This paper investigates methods for enhancing the operational efficiency of photovoltaic systems, particularly given that their maximum power output is sensitive to fluctuations in temperature and solar irradiance. To mitigate this variability, Maximum Power Point Tracking algorithms are routinely utilized. This research evaluates diverse MPPT methodologies and proposes an innovative hybrid strategy that amalgamates the conventional Perturb and Observe (P&O) algorithm with a Fuzzy Logic Controller. This proposed hybrid method seeks to combine the rapid response of a large perturbation step with the stability and minimal oscillation associated with a small perturbation step. A photovoltaic system model, encompassing a solar module and a DC-DC converter was developed and simulated using MATLAB/Simulink. The findings confirm the efficacy of MPPT techniques in extracting maximum power. Significantly, the proposed FLC-P&O method exhibits a notable reduction the oscillation of power around the maximum power point compared to the traditional P&O method, while concurrently maintaining a swift response. The study concludes that this hybrid FLC-P&O method offers superior performance, characterized by rapid convergence and minimal steady-state oscillation.