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Stochastic modeling and optimization of Electric Vehicle autonomous photovoltaic charging Station

机译:电动汽车自主光伏充电站的随机造型与优化

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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.
机译:电动车(EV)是内燃机车辆的环保替代品。 尽管有环境效益,但EVS预期增长施加的大规模需求可能会影响电网的安全和经济运行。 因此,太阳能电动车辆充电站被视为能量补充的有希望的解决方案,以应对越来越多的EV。 在本文中,我们考虑一种自主光伏充电站,并提出了一种准入控制算法和充电时间表,以解决站点包装中有限的能量存储和EV充电站中的空间的问题。 仿真结果表明,所提出的录取和调度算法优先于第一作业第一(SJF)算法。 此外,引入的算法允许最大化充电站的性能。

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