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Location and Capacity Model of Charging Station for Electric Vehicles Based on Commuting Demand
IEEJ Transactions on Electrical and Electronic Engineering ( IF 1 ) Pub Date : 2020-05-07 , DOI: 10.1002/tee.23154
Qingyu Luo 1 , Wanli Tian 1 , Hongfei Jia 1
Affiliation  

For commuters, the workplace is the second most important place to be able to charge electric vehicles after their own residence. In order to satisfy the charging demand near to the workplaces of commuters, a location and capacity model for charging stations is set up with the aim of minimizing the overall cost, composed of the charging station construction cost and the generalized cost of users. The charging demand of commuting electric vehicles is divided into rigid demand and elastic demand, which depends on whether the electric vehicle has enough power to complete the rest of its daily travel requirements. By introducing a user convenience coefficient to quantify the user's charging expectation, the number of electric vehicles to be served and the demand for charging at the stations are obtained. Further, the optimal sites for charging stations and the quantities of different levels of charging facility equipped are determined by the location and capacity model. An example shows that, as the threshold of the convenience coefficient decreases, the demand for electric energy increases gradually, and the construction becomes less economical. Meanwhile, the location of the charging station is insensitive to the change of electric energy demand. The threshold value for the convenience coefficient is put forward for different planning purposes, providing a reference for planning site selection and quantity of chargers under elastic demand. © 2020 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

中文翻译:

基于通勤需求的电动汽车充电站选址与容量模型

对于通勤者而言,工作场所是仅次于其居住地的能够为电动汽车充电的第二重要场所。为了满足靠近通勤人员工作场所的充电需求,建立了充电站的位置和容量模型,其目的是使总体成本最小化,该总成本由充电站建设成本和用户的普遍成本组成。通勤电动汽车的充电需求分为刚性需求和弹性需求,这取决于电动汽车是否有足够的动力来完成其剩余的日常行驶需求。通过引入用户便利性系数以量化用户的充电期望,获得要服务的电动车辆的数量和在车站的充电需求。进一步,充电站的最佳位置和配备的不同级别充电设施的数量由位置和容量模型确定。一个例子表明,随着便利系数阈值的降低,对电能的需求逐渐增加,并且建筑的经济性降低。同时,充电站的位置对电能需求的变化不敏感。提出了方便系数的阈值,用于不同的规划目的,为弹性需求下规划选址和充电器数量提供参考。©2020日本电气工程师学会。由John Wiley&Sons,Inc.发布 一个例子表明,随着便利系数阈值的降低,对电能的需求逐渐增加,并且建筑的经济性降低。同时,充电站的位置对电能需求的变化不敏感。提出了方便系数的阈值,用于不同的规划目的,为弹性需求下规划选址和充电器数量提供参考。©2020日本电气工程师学会。由John Wiley&Sons,Inc.发布 一个例子表明,随着便利系数阈值的降低,对电能的需求逐渐增加,并且建筑的经济性降低。同时,充电站的位置对电能需求的变化不敏感。提出方便系数的阈值,用于不同的规划目的,为弹性需求下规划选址和充电器数量提供参考。©2020日本电气工程师学会。由John Wiley&Sons,Inc.发布 提出方便系数的阈值,用于不同的规划目的,为弹性需求下规划选址和充电器数量提供参考。©2020日本电气工程师学会。由John Wiley&Sons,Inc.发布 提出了方便系数的阈值,用于不同的规划目的,为弹性需求下规划选址和充电器数量提供参考。©2020日本电气工程师学会。由John Wiley&Sons,Inc.发布
更新日期:2020-05-07
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