This paper presents the design of a fuzzy logic-based energy management system (EMS) to minimize power consumption from the mains of grid-connected residential microgrids. The EMS aims to reduce grid dependence through a power-sharing strategy between microgrids, efficiently balancing the generation deficit and surplus between them. The implemented methodology involves an FLC-based EMS in each residential microgrid, which is responsible for operating each microgrid. Additionally, an EMS based on an FLC controller is considered to manage the power exchange between microgrids. The proposed strategy identifies microgrids with energy surpluses and deficits, facilitating power exchange to minimize power peaks and fluctuations in each grid profile. System performance is evaluated through MATLAB simulations, which utilize data from previous studies on photovoltaic generation and energy demand. Various interconnection scenarios involving two, three, and five microgrids are examined, and the results are compared with those of systems that do not permit power sharing. Key evaluation metrics include reduced power profile variability and improved battery state of charge. The findings indicate that adopting an FLC-based EMS in a scenario with multiple interconnected residential microgrids results in a significant decrease in energy consumption from the grid as the number of microgrids increases. This study demonstrates that utilizing FLC in interconnected microgrids facilitates efficient and flexible energy management.