Hua-Xin Liu

Configuration and Scheduling of Hybrid Energy Storage Systems via Variational Mode Decomposition and Deep Reinforcement Learning

To address the volatility challenges associated with high penetrations of renewable energy, this paper proposes a feedback‐coupled bilevel optimization architecture for hybrid energy storage systems (HESS) that integrates deep reinforcement learning (DRL). In the upper layer, variational mode decomposition (VMD) is emp...