快速电动汽车充电站日前最优调度与多阶段电池退化模型
Optimal Day-Ahead Scheduling of Fast EV Charging Station With Multi-Stage Battery Degradation Model
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中文总结 AI 辅助
本文提出一种多阶段电池退化建模方法，集成于日前调度框架，以降低配备电池储能系统的快速充电站运营成本，平均节省约2.1%。
中文摘要 AI 辅助
本文提出了一种日前调度框架，并引入了一种新颖的多阶段电池退化建模方法，用于配备电池储能系统（BESS）的电动汽车（EV）快速充电站（FCS）。与以往采用单一电池退化模型来表征老化过程的研究不同，本文提出了一种新颖的多阶段电池退化建模方法，以精确捕捉整个寿命周期内的退化过程。随后，该多阶段模型以计算上可处理的方式被显式集成到所提出的自适应优化框架中，从而在该领域具有重要的实际意义。本文提供了案例研究，以证明所提出的建模方法在选定的循环老化模型上，对于降低在不同阶段运行的配备BESS的FCS的运营成本的有效性。结果表明，与单阶段模型相比，采用多阶段模型的总体运营成本平均降低约2.1%。此外，结果显示，随着划分阶段数量的增加，模型误差减小并趋于稳定，而与单阶段模型相比所降低的运营成本则增加并趋于饱和。最后，我们应用考虑其他传统退化模型的多阶段框架，以展示所提出方法的优越性。
英文摘要
The paper proposes a day-ahead scheduling framework with a novel multi-stage battery degradation modeling method for an electric vehicle (EV) fast charging station (FCS) equipped with a battery energy storage system (BESS). Unlike previous studies, which employ a single battery degradation model to represent the aging process, this paper proposes a novel multi-stage battery degradation modeling method to accurately capture the degradation process across the whole lifespan. Subsequently, the multi-stage model is explicitly integrated into the proposed adaptive optimization framework in a computationally tractable way, thus having important practical implications in the field. The paper provides case studies to demonstrate the effectiveness of the proposed modeling method on a selected cycle aging model in reducing the operation cost of FCS with BESS operating in different stages. As a result, the overall operation cost with the multi-stage model is around 2.1% on average lower than the single-stage model counterpart. In addition, results show that with the increasing number of divided stages, the model error decreases and becomes stable, while the reduced operation cost compared with the single-stage model increases and saturates. Finally, we apply the multi-stage framework considering other conventional degradation models to show the superiority of the proposed method.
发表机构
- Technical University of Denmark（丹麦技术大学）
- Equilibrium Energy（均衡能源）
机构由 AI 辅助整理，请以论文原文为准。
