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Electric Vehicle Charging Scheduling Using an Artificial Bee Colony Algorithm

机译:基于人工蜂群算法的电动汽车充电调度

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In this paper we face a scheduling problem that consists in charging a set of electric vehicles such that the total tardiness is minimized. Building an efficient schedule is difficult due to some physical constraints of the charging station, such as a maximum contracted power and a maximum imbalance between the lines of the three-phase electric feeder. We propose an artificial bee colony metaheuristic specifically designed to solve this problem. Its performance is analyzed and compared against the state of the art, obtaining competitive results and outperforming previous approaches.
机译:在本文中,我们面临着调度问题,该调度问题包括充电一组电动车,使得总迟到最小化。由于充电站的一些物理限制,构建有效的时间表是困难的,例如最大收缩功率和三相电送料器线之间的最大不平衡。我们提出了一种专门设计用于解决这个问题的人为蜂殖民地成群质主义。分析其性能并与现有技术进行比较,获得竞争结果和优于先前的方法。

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