Control of a combined battery/supercapacitor storage system for DC microgrid application

This study focuses on optimizing hybrid energy storage systems for improved energy management in power networks. Combining batteries and supercapacitors, these systems offer a promising solution for addressing various network challenges, such as power quality enhancement and voltage stabilization. However, effective control remains a critical aspect. Conventional control methods are reviewed, highlighting their limitations. To overcome these challenges, a novel approach integrating fuzzy logic and rule-based systems is proposed. This hybrid method enables adaptable operation in both network-connected and independent modes, catering to diverse network conditions and operational requirements. The proposed control strategy aims to maintain DC bus voltage within acceptable limits, regulate battery and supercapacitor charge levels, and maximize supercapacitor utilization to prolong battery lifespan. Simulation studies conducted in Matlab/Simulink validate the efficacy of the proposed approach. Results demonstrate rapid voltage recovery with minimal overshoot and undershoot, ensuring stable network operation. Additionally, the proposed method significantly increases supercapacitor utilization compared to traditional methods, indicating enhanced system performance and energy storage capacity.