Implementation of hybrid optimized battery controller and advanced power management control strategy in a renewable energy integrated DC microgrid

In Renewable Energy (RE) integrated DC Microgrid (MG), the intermittency of power variation from RE sources can lead to power and voltage imbalances in the DC network and have an impact on the MG's operation in terms of reliability, power quality, and stability. In such case, a battery energy storage (BES) technology is widely used for mitigating power variation from the RE sources to get better voltage regulation and power balance in DC network. In this study, a BES based coordinated power management control strategy (PMCS) is proposed for the MG system to get effective utilization of RE sources while maintaining the MG's reliability and stability. For safe and effective utilization of BES, a battery management system (BMS) with inclusion of advanced BES control strategy is implemented. The BES control system with optimized FOPI controllers using hybrid (atom search optimization and particle swarm optimization (ASO-PSO)) optimization technique is proposed to get improved overall performance in terms of control response and voltage regulation in DC network under the random change in load profile and uncertain conditions of RE sources in real time.

Automated summary

In Renewable Energy integrated DC Microgrid, the intermittency of power variation from RE sources can cause power and voltage imbalances in the DC network, affecting the MG's reliability, power quality, and stability. To mitigate power variation, a battery energy storage (BES) technology is used, along with a coordinated power management control strategy (PMCS) and advanced BES control system with optimized FOPI controllers. This study aims to improve control response and voltage regulation in DC network under real-time load changes and uncertain conditions of RE sources.