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Planning Plug-in Electrical Vehicles Charging Infrastructure in City Centers

机译:规划市中心的插电式电动汽车充电基础设施

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Installing charging facilities in existing parking lots in city centers is considered an effective measure toencourage the adoption of plug-in electric vehicles (PEV). This paper is concerned with the problem ofoptimally locating these facilities to minimize the total system cost. The problem is formulated as a fixedcharge facility location model with charging capacity constraints. Our model extends the existing work byallowing unserved demands and considering drivers’ tendency to stick to familiar parking lots. Accordingly,inconvenience costs are introduced for unserved demands and for those who have to change their parkinglots for the purpose of charging. The proposed model is not only always feasible, but also introduces apricing mechanism so that the level of service (measured by the cost of unserved demands) can be tradedoff with infrastructure cost. In addition, a stochastic version of the proposed model is developed to addressthe effects of uncertain PEV market penetration rate on the design of charging facilities. A case study isconducted to analyze the sensitivity of the models to different cost components, and to compare the resultsof the stochastic and deterministic models.
机译:在市中心现有的停车场中安装充电设施被认为是有效的措施, 鼓励采用插电式电动汽车(PEV)。本文关注的问题是 优化这些设施的位置,以最大程度地降低系统总成本。该问题被表述为固定的 具有充电能力约束的充电设施位置模型。我们的模型通过 允许未满足的需求,并考虑驾驶员倾向于使用熟悉的停车场的趋势。因此, 对于未满足的需求和必须更换停车位的人,引入了不便成本 很多用于充电的目的。所提出的模型不仅总是可行的,而且还引入了 定价机制,以便可以交易服务水平(由未满足需求的成本衡量) 与基础设施成本有关。此外,开发了所建议模型的随机版本以解决 PEV市场渗透率不确定对充电设施设计的影响。案例研究是 进行了分析模型对不同成本构成的敏感性,并比较了结果 随机和确定性模型。

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