Stochastic modeling and optimization of Electric Vehicle autonomous photovoltaic charging Station

Ghraslia Wajdi, Kchiche Amine, Kammoun Farouk
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引用次数: 1

Abstract

Electric vehicles (EV) are an environmentally friendly alternative to internal combustion engine vehicles. Despite their environmental benefits, the massive demand for electricity imposed by the expected growth of EVs could affect the safe and economical operation of the electricity grid. For this reason, solar-powered electric vehicle charging stations are viewed as a promising solution for an energy supplement to cope with the increasing number of EVs. In this paper, we consider an autonomous photovoltaic charging station and propose an admission control algorithm and a charging schedule to solve the problem of limited energy storage in the station pack and reduced space in an EV charging station. The simulation results demonstrate that the proposed admission and scheduling algorithm outperformed Short Job First (SJF) algorithm. Besides, the introduced algorithm allowed maximizing the performance of the charging station.
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电动汽车自主光伏充电站的随机建模与优化
电动汽车(EV)是内燃机汽车的环保替代品。尽管电动汽车具有环境效益,但电动汽车的预期增长所带来的巨大电力需求可能会影响电网的安全和经济运行。因此,太阳能电动汽车充电站被认为是一种很有前途的能源补充方案,以应对越来越多的电动汽车。本文以自主式光伏充电站为研究对象,提出了一种允许控制算法和充电计划,以解决充电站组储能有限、充电站空间缩小的问题。仿真结果表明,该算法优于Short Job First (SJF)算法。此外,所引入的算法允许充电站的性能最大化。
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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