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Planning Plug-in Electrical Vehicles Charging Infrastructure in City Centers

机译:规划城市中心收取基础设施的插件电动车

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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 paper is concerned with the problem of optimally locating these facilities to minimize the total system cost. The problem is formulated as a fixed charge facility location model with charging capacity constraints. Our model extends the existing work by allowing 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 parking lots for the purpose of charging. 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 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 design 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:在城市中心的现有停车场中安装充电设施被认为是鼓励采用插入电动汽车(PEV)的有效措施。本文涉及最佳地定位这些设施以最小化总系统成本的问题。该问题配制为具有充电容量约束的固定电荷设施位置模型。我们的模型通过允许未维修的需求并考虑驾驶员来巩固熟悉的停车场来扩展现有的工作。因此,引入了不方便的成本,以便为未经要求的需求和那些必须为充电而改变停车场的人。所提出的模型不仅可以始终可行,而且还引入了定价机制,以便可以以基础设施成本交易服务水平(通过未经要求的需求的成本来衡量)。此外,建立了拟议模型的随机版本,以解决不确定PEV市场渗透率对充电设施设计的影响。进行案例研究以分析模型对不同成本分量的敏感性,并比较随机和确定性模型的结果。

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