Vehicle-to-Grid Fleet Service Provision considering Nonlinear Battery Behaviors
Vehicle-to-Grid Fleet Service Provision considering Nonlinear Battery Behaviors
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DOI：
10.1109/tte.2023.3305235
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发表时间：
2023-01
影响因子：
7
通讯作者：
J. Jaworski;Ningkun Zheng;M. Preindl;Bolun Xu
中科院分区：
文献类型：
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作者：
J. Jaworski;Ningkun Zheng;M. Preindl;Bolun Xu
电动汽车（EV）的激增需要准确有效的方法来协调电网运行。通过响应配电网限制和随时间变化的电价，电动汽车充电站（EVCS）可以最大限度地降低其充电成本，同时帮助电网运行。在这项研究中，我们使用来自纽约州的实时价格（RTP）数据和真实世界的充电网络数据集来研究车辆到电网（V2G）的经济效益。我们的V2G方法结合了非线性电池模型和价格不确定性，以提供不同V2G选项的成本节约的现实估计。所提出的控制方法是计算上易于处理时，扩大到现实世界中的应用。我们表明，在考虑单向充电时，与不受控制的充电（UC）相比，我们提出的算法可平均节省21%的充电成本，而与单向智能充电相比，双向V2 G可额外节省17%的成本。我们的研究结果还表明，在V2G控制器中使用更准确的非线性电池模型和评估V2G价格不确定性的成本的重要性。
The surging adoption of electric vehicles (EVs) calls for accurate and efficient approaches to coordinate with the power grid operation. By being responsive to distribution grid limits and time-varying electricity prices, EV charging stations (EVCSs) can minimize their charging costs while aiding grid operation simultaneously. In this study, we investigate the economic benefit of vehicle-to-grid (V2G) using real-time price (RTP) data from New York State and a real-world charging network dataset. Our V2G approach incorporates nonlinear battery models and price uncertainty to provide a realistic estimation of cost savings from different V2G options. The proposed control method is computationally tractable when scaling up to real-world applications. We show that our proposed algorithm leads to an average of 21% charging cost savings compared to uncontrolled charging (UC) when considering unidirectional charging, and bidirectional V2G enables additional 17% cost savings compared to unidirectional smart charging. Our result also shows the importance of using more accurate nonlinear battery models in V2G controllers and evaluating the cost of price uncertainties over V2G.