Sizing Energy Storage System for Energy Arbitrage in Extreme Fast Charging Station
Sizing Energy Storage System for Energy Arbitrage in Extreme Fast Charging Station
复制标题
超快速充电站能量套利储能系统规模调整
DOI：
10.1109/pesgm46819.2021.9638078
复制
发表时间：
2021
期刊：
影响因子：
--
通讯作者：
J. Kimball
中科院分区：
文献类型：
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作者：
W. Rehman;R. Bo;Hossein Mehdipourpicha;J. Kimball
本文提出了一种非线性规划（NLP）模型，以最佳的规模的能量存储系统（ESS），并获得最佳的能量管理的能量套利的极端快速充电站（XFCS）的电动汽车（EV），最小化的总成本的XFCS的操作和ESS的投资。不同于大多数报道的电动汽车充电站的ESS大小的工作，本文提出了一种务实的方法来模拟ESS寿命退化和准确地计算ESS周期。此外，这项工作将高峰需求收费的充电站的运营成本，这是经常被忽视的文献。该模型是制定和解决使用AIMMS。最后，进行了全面的敏感性分析，以提供不同的输入参数如何影响ESS的大小和节省能源套利的角度来看。
This paper proposes a non-linear programming (NLP) model to optimally size the energy storage system (ESS) and obtain an optimal energy management for energy arbitrage of an extreme fast charging station (XFCS) for electric vehicles (EVs), with minimized total cost of XFCS operation and ESS investment. Different from most reported work on sizing the ESS for EV charging stations, this paper proposes a pragmatic approach to model the ESS life degradation and accurately count the ESS cycles. Moreover, this work incorporates the peak demand charges in the operational cost of the charging station which are often overlooked in the literature. The proposed model is formulated and solved using AIMMS. Finally, a thorough sensitivity analysis is performed to offer insights into how different input parameters impact the ESS sizing and savings from the energy arbitrage perspective.