| Abstract |
Recent advancements in energy technology have led to increased interest in DC microgrids as viable solutions for efficient energy management, particularly in scenarios involving renewable energy integration and distributed generation. However, the dynamic nature of renewable energy sources and the complexity of microgrid operation present significant challenges in achieving optimal performance and resource utilization. In this context, this paper investigates the application of fuzzy logic control as a promising approach to enhance energy management within DC microgrids. Fuzzy logic control offers advantages such as adaptability to nonlinear and uncertain systems, making it well-suited for addressing the variability and intermittency inherent in renewable energy sources. Furthermore, to ensure the effective design and operation of DC microgrids, theoretical methods are employed for system sizing. These methods take into account factors such as load profiles, renewable energy availability, and storage system characteristics to determine the optimal configuration and capacity of components within the microgrid. By integrating fuzzy logic control with theoretical sizing techniques, this study aims to overcome key operational challenges and contribute to the advancement of sustainable energy solutions. Through comprehensive analysis and simulation in MATLAB/Simulink, the proposed approach seeks to provide insights into the performance and effectiveness of fuzzy logic-based energy management systems in DC microgrid environments. This research makes a significant contribution by demonstrating the viability of a DC microgrid and developing an energy management system that will be implemented in a future scaled-down laboratory prototype. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. |
