Comprehensive Review of the Development and Fabrication of a Hybrid MPPT Controller Using Fuzzy Logic and Perturb & Observe techniques for High-Efficiency PV Systems

Photovoltaic (PV) systems, essential for renewable energy generation, rely on Maximum Power Point Tracking (MPPT) algorithms to optimize energy extraction. The Perturb and Observe (P&O) algorithm, while popular for its simplicity, suffers from limitations such as slow response to irradiance fluctuations, steady-state oscillations, and suboptimal performance under dynamic conditions. Fuzzy Logic Control (FLC) offers adaptive capabilities, improving tracking accuracy and stability, but requires proper tuning to be effective. This paper proposes a hybrid MPPT controller that integrates P&O with FLC to address these shortcomings. The hybrid system combines the robustness and simplicity of P&O with the adaptive nature of FLC, resulting in faster tracking, reduced oscillations, and enhanced stability under variable environmental conditions. The proposed solution demonstrates significant improvements in both off-grid and grid-tied PV systems, ensuring efficient energy harvesting and reduced power losses in real-world applications. Keywords: Photovoltaic Systems, Maximum Power Point Tracking (MPPT), Perturb and Observe (P&O) Algorithm, Fuzzy Logic Control (FLC), Hybrid MPPT Controller