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Planning charging infrastructure for plug-in electric vehicles in city centers

机译:规划市中心插电式电动汽车的充电基础设施

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Installing charging facilities in existing parking lots in city centers is considered an effective measure to encourage the adoption of plug-in electric vehicles (PEV). This article is concerned with the problem of locating these facilities so as to minimize the total system cost. The problem is formulated as a fixed charge facility location model with charging capacity constraints. The proposed model extends the existing work by allowing unserved demands and considering drivers' preference for familiar parking lots. Accordingly, inconvenience costs are introduced for unserved demands and for those who have to change their parking lots in order to charge at work. The proposed model is not only always feasible, but also introduces a pricing mechanism so that the level of service (measured by the cost of unserved demands) can be traded off with the infrastructure cost. In addition, a stochastic version of the proposed model is developed to address the effects of uncertain PEV market penetration rate on the planning of charging facilities. A case study is conducted to analyze the sensitivity of the models to different cost components, and to compare the results of 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鼓励采用插电式电动汽车(PEV)的有效措施。本文关注的是这些设备的位置问题,以使总系统成本降至最低。该问题被公式化为具有充电容量约束的固定充电设施位置模型。提出的模型通过允许未满足的需求并考虑驾驶员对熟悉的停车场的偏爱来扩展现有工作。因此,对于未满足的需求以及那些不得不改变停车场以便在工作中收费的人,引入了不便成本。所提出的模型不仅总是可行的,而且引入了一种定价机制,以便可以用基础设施成本来权衡服务水平(由未满足需求的成本衡量)。此外,开发了该模型的随机版本,以解决不确定的电动汽车市场渗透率对充电设施规划的影响。进行了案例研究,以分析模型对不同成本构成的敏感性,并比较随机模型和确定性模型的结果。

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