In MATLAB, developing a model for a grid-connected PV system with Neural Network Maximum Power Point Tracking (MPPT) involves creating a comprehensive simulation environment that integrates photovoltaic (PV) panels, grid connections, and artificial neural networks (ANNs). The model accounts for variations in solar irradiance, temperature, and shading effects to optimize the PV system's power output. MATLAB provides tools for designing the PV array, simulating solar energy generation, training and implementing neural networks for MPPT, and analyzing system performance. Engineers can evaluate the effectiveness of the neural network MPPT algorithm in tracking the maximum power point under changing environmental conditions and grid requirements. By simulating various scenarios and optimizing system parameters, MATLAB facilitates the development of efficient and reliable grid-connected PV systems with neural network MPPT, contributing to enhanced renewable energy utilization and grid integration.