This paper presents a novel approach to integrating a solar PV system with the grid using a fuzzy logic system (FLS). The proposed system employs an FLS to control the power output of the solar panels and to determine the optimal power injection point into the grid. The FLS takes into account real-time data such as solar irradiance, temperature, and grid conditions to ensure that the system operates at maximum efficiency while maintaining grid stability. The proposed system was simulated using MATLAB/Simulink and the results demonstrate that the FLS-based system outperforms traditional control methods in terms of power quality and efficiency. This research contributes to the development of intelligent control systems for renewable energy sources and has practical implications for the design and operation of solar PV systems connected to the grid.