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Optimal Scheduling for Electric Vehicle Charging under Variable Maximum Charging Power

机译:可变最大充电功率下的电动汽车充电最优调度

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The large-scale integration of electric vehicles (EVs) into power systems is expected to lead to challenges in the operation of the charging infrastructure. In this paper, we deal with the problem of an aggregator coordinating charging schedules of EVs with the objective of minimizing the total charging cost. In particular, unlike most previous studies, which assumed constant maximum charging power, we assume that the maximum charging power can vary according to the current state of charge (SOC). Under this assumption, we propose two charging schemes, namely non-preemptive and preemptive charging. The difference between these two is whether interruptions during the charging process are allowed or not. We formulate the EV charging-scheduling problem for each scheme and propose a formulation that can prevent frequent interruptions. Our numerical simulations compare different charging schemes and demonstrate that preemptive charging with limited interruptions is an attractive alternative in terms of both cost and practicality. We also show that the proposed formulations can be applied in practice to solve large-scale charging-scheduling problems.
机译:电动汽车(EV)大规模集成到电力系统中预计会给充电基础设施的运营带来挑战。在本文中,我们处理了聚合器协调电动汽车充电时间表的问题,目的是使总充电成本最小化。特别是,与大多数以前的研究假设恒定的最大充电功率不同,我们假设最大充电功率可以根据当前的充电状态(SOC)进行变化。在这种假设下,我们提出了两种收费方案,即非抢占式和抢占式。两者之间的区别在于充电过程中是否允许中断。我们为每种方案制定了EV充电计划问题,并提出了可以防止频繁中断的方案。我们的数值模拟比较了不同的充电方案,并证明了在成本和实用性方面具有有限中断的抢先充电是一种有吸引力的选择。我们还表明,所提出的公式可在实践中用于解决大规模的充电计划问题。

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