A proximal policy optimization (PPO)-based energy management system (EMS) for a grid-connected community microgrid integrating photovoltaic and wind generation, battery storage, an electrolyzer, hydrogen storage, a fuel cell, and diesel backup is developed.
A Deep Reinforcement Learning-based energy management system employing a Deep Q-Network to coordinate battery–supercapacitor operation within a renewable microgrid is developed and evaluated, demonstrating the feasibility of applying deep reinforcement learning to coordinated battery–supercapacitor energy management an...
Daniel Owusu· American Journal of Neural N...· 0 citations
High renewable penetration makes microgrid energy management sensitive to uncertain photovoltaic output, wind fluctuation, load variation, electricity price, and battery degradation. Conventional rule-based and model predictive strategies require manually tuned thresholds or accurate forecasts, which limits their adapt...
Feng Long, Shang-Zhi Sun, Min-Zhang Jiang et al.· International Conference on...· 0 citations
Experimental results demonstrate that the proposed DRL-based framework provides an effective and scalable solution for intelligent microgrid energy management and outperforms conventional rule-based strategies and model-based optimization approaches in terms of operational cost reduction, energy utilization efficiency,...
Li Chen, Hong-Qiao Li, Zhen-Xing Chen et al.· European Conference on Elect...· 0 citations
Automation-oriented dispatch centers, renewable microgrids, logistics-park charging hubs, and transportation-energy facilities require rapid and reliable scheduling under volatile load, renewable output, electricity prices, and network-security margins. This paper proposes a constraint-aware deep reinforcement learning...
Jian-Ping Xu, Zhi Miao, Hao Wu et al.· International Conference on...· 0 citations
A hybrid energy storage system (HESS) coupled with an AI energy management system (EMS) that uses deep reinforcement learning (DRL) for optimal scheduling of renewable energy utilization within grid-connected and islanded microgrids.
Lalit Sachdeva, U. Anand· Energy Storage and Conversio...· 0 citations
High penetration of distributed energy resources(DERs), particularly residential solar photovoltaic(PV) systems and battery energy storage systems(BESS), introduces operational challenges in low-voltage distribution networks, including voltage fluctuations, peak-demand issues, and underutilization of renewable energy....
