Optimal PI-Controller-Based Hybrid Energy Storage System in DC Microgrid

Power availability from renewable energy sources (RES) is unpredictable, and must be managed effectively for better utilization. The role that a hybrid energy storage system (HESS) plays is vital in this context. Renewable energy sources along with hybrid energy storage systems can provide better power management in a DC microgrid environment. In this paper, the optimal PI-controller-based hybrid energy storage system for a DC microgrid is proposed for the effective utilization of renewable power. In this model, the proposed optimal PI controller is developed using the particle swarm optimization (PSO) approach. A 72 W DC microgrid system is considered in order to validate the effectiveness of the proposed optimal PI controller. The proposed model is implemented using the MATLAB/SIMULINK platform. To show the effectiveness of the proposed model, the results are validated with a conventional PI-controller-based hybrid energy storage system.

Automated summary

The availability of renewable energy sources is unpredictable and requires effective management for better utilization. Hybrid energy storage systems play a vital role in a DC microgrid environment. This paper proposes an optimal PI-controller-based hybrid energy storage system for effective utilization of renewable power.