Faculty of Engineering, Department of Electrical and Electronic Engineering, University Putra Ma-laysia, Serdang, Selangor, Malaysia.
PLoS One. 2023 Jun 13;18(6):e0287136. doi: 10.1371/journal.pone.0287136. eCollection 2023.
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.
在可再生能源(RE)集成的直流微电网(MG)中,来自 RE 源的功率变化的间歇性可能导致直流网络中的功率和电压失衡,并对 MG 的可靠性、电能质量和稳定性产生影响。在这种情况下,电池储能(BES)技术被广泛用于缓解来自 RE 源的功率变化,以获得更好的直流网络电压调节和功率平衡。在这项研究中,提出了一种基于 BES 的协调功率管理控制策略(PMCS),用于 MG 系统,以在保持 MG 的可靠性和稳定性的同时有效利用 RE 源。为了安全有效地利用 BES,实现了包含先进 BES 控制策略的电池管理系统(BMS)。提出了一种使用混合(原子搜索优化和粒子群优化(ASO-PSO))优化技术的优化 FOPI 控制器的 BES 控制系统,以在负载曲线随机变化和实时 RE 源不确定条件下,提高控制响应和直流网络电压调节方面的整体性能。