Microgrids are stand-alone power systems that can operate independently or in conjunction with the main grid. Achieving a balanced and reliable power supply in microgrids is a challenging issue due to the fluctuating nature of power generation and load demand. In this paper, we present a new fuzzy logic-based approach to control power flow in microgrids. To maintain the work reserve of the BSS and manage the charging and discharging conditions, this intelligent control system presented flexible operation in the microgrid, maximizing the benefits of renewable energy. The proposed approach uses real-time data to make decisions regarding electricity generation, storage, and consumption, which helps maintain a stable energy balance in the system. We demonstrate the effectiveness of our approach through simulation studies, which show an excellent contribution to reducing power fluctuations and improving the reliability of the microgrid, as well as a comparison between the fuzzy logic controller and PID control in terms of precision and stability. Our approach is flexible and can be adapted to different microgrids, including those based on renewable energy sources and hybrid systems. Overall, our approach represents a promising solution to improve the performance of microgrids and ensure a reliable energy supply in these systems. Simulation results show greater adaptability to voltage variations of the fuzzy logic controller and the ability to manage uncertainties and unpredictable variations in production and load demand.