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Charging infrastructure placement for electric vehicles: An optimization prospective

机译:电动汽车的充电基础设施布置:优化前景

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Electric Vehicles (EVs) can be considered as a step forward towards the green environment and economical transportation. Moreover, EVs offer fuel economy, clean environment, and less cost of vehicle charging as compared to gasoline refilling. These are the main motivations towards the adaptation of EVs by the users. In order to increase the penetration of EVs into the transportation system, the EV charging stations become necessary to fulfill the charging needs. The charging stations can be placed considering different scenarios and objectives. Placement of charging stations in the service area requires a huge amount of budget and their locations are critical to select. In this paper, we formulate an optimization problem with an objective to minimize the overall cost of the charging infrastructure placement subject to the constraint on charging requirements in the service area. The proposed problem is solved using the branch and bound algorithm. Simulations results show the effectiveness of proposed placement strategy to minimize overall placement cost.
机译:电动汽车(EV)可被视为迈向绿色环境和经济运输的一步。此外,与汽油加注相比,电动汽车可提供燃油经济性,清洁的环境以及较低的车辆充电成本。这些是用户适应电动汽车的主要动机。为了增加电动汽车对运输系统的渗透,电动汽车充电站成为满足充电需求所必需的。可以考虑不同的场景和目标来放置充电站。在服务区中放置充电站需要大量预算,因此选择充电站的位置至关重要。在本文中,我们制定了一个优化问题,其目标是在服务区域中对充电要求的约束下,将充电基础设施布置的总成本降至最低。使用分支定界算法解决了提出的问题。仿真结果表明,所提出的布局策略可以最大程度地降低总体布局成本。

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