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Electric power resource provisioning for large scale public EV charging facilities

机译:大规模公用eV充电设施的电力资源供应

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摘要

The mainstream adoption of Electric and Plug-in Hybrid Electric Vehicles (EVs/PHEVs) requires the wide deployment of public charging stations of large scale. Such facilities are essential for this goal, and probably represent the only option for drivers living in densely populated areas. They could also provide complementary service to extend the EV range for drivers who also have access to domicile charging. On the other hand, since these stations will mainly operate during the day, stochastic customer demand exerted on the power grid may threaten its reliability. Hence, the problem of electric power resource provisioning should be carefully considered. In this study, we propose a capacity planning framework by exploiting the stochastic behavior of customer demand at each charging slot in large capacity stations. Our framework assigns a constant power to each charging slot. Thus, aggregated stochastic demand is approximated by a deterministic quantity, at the price of denying service to a very small percentage of customers. Our model leads to significant savings in power provisioning and provides critical insights about the design of charging station.
机译:主流采用电动和插入式混合动力电动车(EVS / PHEV)需要大规模的公共收费站的广泛部署。此类设施对于这一目标至关重要,可能代表生活在稠密地区的司机的唯一选择。他们还可以提供互补的服务来扩展还可以获得居住地充电的司机的EV范围。另一方面,由于这些站点将在白天主要运行,因此在电网上施加的随机客户需求可能会威胁其可靠性。因此,应仔细考虑电力资源供应问题。在这项研究中,我们通过利用大容量站的每个充电槽的客户需求的随机行为提出了能力规划框架。我们的框架为每个充电插槽分配了恒定的功率。因此,聚合随机需求由确定性数量近似,以否认服务的价格达到非常小的客户。我们的模型导致功率供应的大量节省,并提供了对充电站设计的关键见解。

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