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Genetic Algorithm for Scheduling Charging Times of Electric Vehicles Subject to Time Dependent Power Availability

机译:时变功率可用性下的电动汽车充电时间调度遗传算法

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The expected widespread adoption of electric vehicles (EVs) in the near future brings new challenges as for example that of scheduling the charging times under limited power and other technological constraints. In this paper, we tackle a scheduling problem derived from a EV charging model and control system recently proposed to organize the charging times of a large fleet of EVs. This problem may be formalized as that of scheduling a set of tasks with given processing times and due dates on a machine whose capacity varies over time. We first introduce a schedule builder and study its main properties. Then, we propose a genetic algorithm that exploits the schedule builder as decoding algorithm. Experimental results show the suitability of our approach.
机译:预期在不久的将来电动汽车(EV)的广泛采用将带来新的挑战,例如在有限的功率和其他技术约束下安排充电时间。在本文中,我们解决了由电动汽车充电模型和控制系统衍生的调度问题,该模型和控制系统最近被提出来组织大型电动汽车的充电时间。此问题可以形式化为在具有随时间变化的机器上按给定的处理时间和到期日调度一组任务的问题。我们首先介绍一个进度表构建器,并研究其主要属性。然后,我们提出了一种遗传算法,该算法利用调度生成器作为解码算法。实验结果表明了我们方法的适用性。

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