Research and Simulation Using MPPT Fuzzy Logic Research Algorithm to Optimize PV Solar Power

Abstract

Research and Simulation Using the Maximum Power Point Tracking (MPPT) Fuzzy Logic Algorithm to Optimize the Power of Photovoltaic (PV) Solar Arrays represents an advanced approach in solar energy optimization. The MPPT algorithm allows automatic adjustment of the PV array’s operating point to achieve maximum energy conversion under fluctuating sunlight and temperature conditions. By integrating a Fuzzy Logic Controller (FLC), the system processes input parameters such as voltage and current to determine the most efficient control signals. Compared to conventional methods like Perturb and Observe (P&O), the fuzzy-based MPPT provides faster response, reduced oscillations, and improved accuracy in identifying the optimal point. Simulation using MATLAB/Simulink enables evaluation and fine-tuning of controller performance under dynamic weather scenarios. The results demonstrate enhanced energy conversion efficiency, stability, and reliability, supporting the broader goal of developing intelligent, adaptive, and sustainable photovoltaic systems for modern renewable energy applications.