In MATLAB, modeling a 100 kW grid-connected PV system with fuzzy logic and Perturb and Observe (P&O) Maximum Power Point Tracking (MPPT) involves creating a comprehensive simulation environment that integrates photovoltaic (PV) panels, grid connections, and control algorithms. The model considers factors such as solar irradiance variations, temperature effects, and grid voltage fluctuations. MATLAB provides tools for designing the PV array, simulating solar energy generation, implementing fuzzy logic and P&O MPPT algorithms, and analyzing system performance. Engineers can optimize the MPPT algorithms, assess the effectiveness of fuzzy logic in enhancing MPPT performance, and evaluate the impact of different control strategies on energy harvesting efficiency and grid stability. By simulating various scenarios and optimizing system parameters, MATLAB facilitates the development of efficient and reliable grid-connected PV systems with fuzzy logic and P&O MPPT, contributing to increased renewable energy utilization and improved grid integration.