Distributing Fast EV Charging Stations in Saudi Highways

Tareq AlSagga, AlWalid Idris, Omar AlWuayl, A. AlSheikh, Sobhi Mejjaoulli
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引用次数: 1

Abstract

With the leaps and strides Saudi Arabia has been making in recent years, and its clear interest in making Saudi Arabia more dependent on Electric Vehicles taking form in the green initiative of the Saudi 2030 Vision. In this paper, a model that locates and distributes fast charging EV stations (FCS) among the highways connecting the major cities in Saudi Arabia and plan the most ideal distribution of stations is created using methods from Industrial Engineering. The first problem is determining the charging station's locations on a certain highway. The second problem is deciding how many charging stations will be placed in every specific location considering the parameters of each. For this study, the model is applied on the Jeddah-Riyadh-Dammam highway crossing the most important cities of Saudi Arabia. For the methodology, 15 locations are located along this route. For each location, the Criteria Priority Weight system (CPWS), a system used to calculate the composite weight of each location, is applied. Finally, we will apply our mathematical model with the set parameters to find the maximum user utility score, which corresponds to the optimal distribution of EV chargers upon the locations. The results yield a certain distribution of charging stations in those locations under budget, cost, and capacity constraints.
在沙特高速公路上部署快速电动汽车充电站
随着沙特阿拉伯近年来取得的突飞猛进,以及其在沙特2030愿景绿色倡议中形成的让沙特更加依赖电动汽车的明显兴趣。本文运用工业工程的方法,建立了在沙特阿拉伯连接主要城市的高速公路中快速充电站的定位和分布模型,并规划了最理想的充电站分布。第一个问题是确定充电站在某条高速公路上的位置。第二个问题是考虑到每个充电站的参数,决定在每个特定的地点放置多少个充电站。在本研究中,该模型应用于穿越沙特阿拉伯最重要城市的吉达-利雅得-达曼高速公路。就方法而言,沿着这条路线有15个地点。对于每个位置,应用标准优先权重系统(CPWS),该系统用于计算每个位置的综合权重。最后,我们将应用我们的数学模型与设定的参数,找到最大的用户效用得分,对应于电动车充电器在位置上的最优分布。结果得出在预算、成本和容量限制下,充电站在这些地点的一定分布。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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