Adaptive filter based method for hybrid energy storage system management in DC microgrid

Abstract

Based on previous energy storage technology research, no single energy storage device combines the high energy density and high power density. Hybrid energy storage system combines multiple energy storage technologies to achieve enhanced performance and efficiency in energy storage applications. This paper proposes a hybrid energy storage system that consists of batteries and supercapacitors for maintaining the stable functioning of DC microgrids. However, effective control and management systems are necessary to maximize their performance. This paper proposes a novel adaptive Frequency-Based Control with State of Charge management as a solution for achieving smooth operation of DC microgrids. By utilizing the state of charge of high power density and high energy density energy storage systems as control inputs, the proposed method adjusts the current flow into the storage devices, resulting in improved power management, accurate voltage regulation, enhanced SOC control, and increased system stability. The proposed adaptive control method is compared to the conventional Frequency-Based Control through MATLAB/Simulink simulations using the same configuration, operation mode and parameter value. In the case studies, the proposed method demonstrates a reduction of 6.7% in peak voltage and 30% in dip voltage compared to the conventional method. Moreover, the settling time of the proposed method is improved by 0.9 and 0.03 s, respectively, compared to the conventional method. The results demonstrate that the proposed method outperforms the conventional method, providing better power management, faster and more precise voltage regulation, and enhanced SOC control.