The increasing global adoption of renewable energy technologies, including photovoltaics, wind power, tidal energy, and fuel cells, is primarily driven by the imperative to address pressing environmental and resource challenges. These include the finite nature of fossil fuels, particularly petroleum depletion, and the escalating threat of anthropogenic climate change. The inherent variability and intermittency of individual renewable energy sources, primarily driven by unpredictable meteorological conditions, present significant challenges to reliable energy supply. Consequently, the integration of an energy storage system is increasingly being favored to ensure consistent power delivery and minimize disruptions for end consumers.
This strategy effectively mitigates the limitations of any single renewable energy source, enhancing overall system resilience and reliability; however, the complex operational dynamics of microgrids present considerable challenges to achieving optimal performance and resource utilization.

In this paper, the application of fuzzy logic control as a strategy for optimizing energy management within DC microgrids including a photovoltaic array and battery storage system is discussed. Fuzzy logic control is particularly well suited for this application due to its flexibility, robustness when facing disturbances, and inherent adaptability to nonlinear and uncertain systems, a crucial advantage when addressing the significant variability and intermittency associated with renewable energy sources.
Simulations using MATLAB/Simulink are used to evaluate the performance and efficacy of the proposed fuzzy logic-based energy management system within DC microgrid environments. This study significantly contributes to the field by empirically demonstrating the viability of DC microgrids as robust and efficient energy solutions.