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Optimal Operation and Services Scheduling for an Electric Vehicle Battery Swapping Station

机译:电动汽车电池交换站的最佳运行和服务调度

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摘要

For a successful rollout of electric vehicles (EVs), it is required to establish an adequate charging infrastructure. The adequate access to such infrastructure would help to mitigate concerns associated with limited EV range and long charging times. Battery swapping stations are poised as effective means of eliminating the long waiting times associated with charging the EV batteries. These stations are mediators between the power system and their customers. In order to successfully deploy this type of stations, a business and operating model is required, that will allow it to generate profits while offering a fast and reliable alternative to charging batteries. This paper proposes an optimization framework for the operating model of battery swapping stations. The proposed model considers the day-ahead scheduling process. Battery demand uncertainty is modeled using inventory robust optimization, while multi-band robust optimization is employed to model electricity price uncertainty. The results show the viability of the proposed model as a business case, as well as the effectiveness of the model to provide the required service.
机译:为了成功推出电动汽车(EV),需要建立足够的充电基础设施。对此类基础设施的充分访问将有助于减轻与有限的EV范围和较长的充电时间相关的担忧。电池交换站有望成为消除与为电动汽车电池充电相关的漫长等待时间的有效手段。这些站是电力系统与其客户之间的中介者。为了成功部署这种类型的站,需要一种业务和运营模型,这将使​​其能够产生利润,同时提供一种快速可靠的充电电池替代方案。本文提出了电池交换站运行模型的优化框架。提出的模型考虑了日程安排过程。电池需求不确定性使用库存鲁棒性优化建模,而多波段鲁棒性优化则用于电价不确定性建模。结果显示了所提出的模型作为业务案例的可行性,以及该模型提供所需服务的有效性。

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