Finding suitable locations for charging stations

Abstract

One of the most significant reasons for the current low market penetration of electric vehicles (EVs) is the insufficient charging infrastructure. Although many EV users have a charging possibility at home and the range of these vehicles would be adequate for most drivers' usage patterns, EV users demand a charging infrastructure similar to that of filling stations. This is mainly due to the range anxiety phenomena, describing EV users' concerns about not reaching a planned destination due to a discharged battery. In order to distribute the charging stations at suitable sites with high visibility, thereby reducing these concerns, we suggest an approach for implementing customers' preferences into a facility location planning model. Our model is evaluated using the example of an urban area, considering both quantitative (e.g., traffic density) and qualitative characteristics. The allocation model developed was able to identify suitable sites for the allocation of charging stations, providing decision support for both governments and providers.

Electric vehicle charge station layout planning: A case study in Istanbul Technical University campus

“…They wanted to reduce these concerns by locating the charging stations in busy areas like current gas stations so that drivers can reach them easily. Because of economic concerns, it aimed to build the minimum number of charging stations with considering the customer choices (Eisel et al, 2014). Some studies have been conducted to criticize the results that may occur when EVs enter the market.…”

“…Liu et al (2012) first identified the optimal sites of EVCS considering the service radius of the stations and environmental factors (Liu et al, 2012). In their paper, Eisel et al (2014) claimed that one of the reasons for low acceptance of EVs at present is insufficient charging infrastructure and drivers' concerns about driving range because of discharged batteries. They wanted to reduce these concerns by locating the charging stations in busy areas like current gas stations so that drivers can reach them easily.…”

“…Each of the feeders was a small‐scale model of an actual distribution circuit (Liu et al, 2012). Eisel et al (2014) made a questionnaire for customers' preferences, and for their p‐center problem, they used the minimax and semi‐discrete model approach (Eisel et al, 2014). The paper of Alizadeh et al (2014) looked into the decision problem of an EV driver travel path selection with traffic conditions and electricity pricing.…”

A review of spatial localization methodologies for the electric vehicle charging infrastructure

“…Dong et al (2014) or Hidalgo et al (2016), for example, adopt the approach not only to minimize the installation costs, but also to minimize the amount of failed trips. Only six studies present models that are user/destination-oriented and trafficoriented (Dong et al, 2014;Eisel et al, 2014;Huang et al, 2016;Spieker et al, 2016;Tu et al, 2016;Viswanathan et al, 2016).…”

Providing a Novel Approach Based on Decomposition for Congestion Management considering EVCSs, Wind Farms, and DLC

“…Also, a suggested index for the effect of network reliability on the location and size of the CS to reduce the charging cost is provided [27]. Eisel et al presented a method for considering customer preferences for the location problem of EVCSs [28]. A method for addressing V2G techniques for congestion management difficulties is brought out in reference [29], in which power distribution variables are employed to calculate how much energy a certain EV should give to ease congestion on a line.…”