Electric vehicles charging network planning

被引:0
作者
Cavadas, Joana [1 ]
Correia, Gonçalo [2 ]
Gouveia, João [1 ]
机构
[1] Department of Mathematics, University of Coimbra, Coimbra
[2] Department of Civil Engineering, University of Coimbra, Rua Luis Reis Santos, Coimbra
来源
Advances in Intelligent Systems and Computing | 2014年 / 262卷
关键词
Charging demand; Charging stations planning; Electric vehicle; Mixed integer problem;
D O I
10.1007/978-3-319-04630-3_7
中图分类号
TM912 [蓄电池];
学科分类号
摘要
In this chapter we propose a method to plan the location of charging stations for electric vehicles (EV) in a city in which the objective is to maximize the number of satisfied vehicles under a fixed budget for building the stations. We take into consideration the maximum capacity of each possible site for installing a station, in terms of the number of plugs that each one can have, and the distance from that location and each demand point, which is measured in walking time. To be able to apply these models, we develop a charging demand model for based on parking data, considering that the higher the parking time, the greater the probability of charging. We also take in consideration the relation between the demand at different points, e.g., if a vehicle can charge at home, the probability of needing to charge at work will be significantly reduced. We test our mathematical models for the case of the city of Coimbra, where there is already a network of charging stations. We first use an existing mobility survey to extract parking data and establish a demand grid, and then we apply the models that gives us the optimal location for charging stations for the entire city allowing us to compare both. © Springer International Publishing Switzerland 2014.
引用
收藏
页码:71 / 84
页数:13
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