Electric vehicles (EV) offer a sustainable solution to the emission problems from transportation but require appropriate charging management facilities. This article presents a decentralized charging management scheme for EV scheduling in a multiaggregator scenario and is compared with a centralized scheduling (CES) strategy in terms of performance. Mobility-aware scheduling is implemented, where the EV arrival at charging stations is modeled using a survey conducted for the city of Jaipur, India, to evaluate the travel patterns. A new approach for modeling the willingness of the consumer has been presented that evaluates the willingness based on scheduling parameters, which include the charging cost, the charging duration, and the arrival/scheduling time of the vehicle. A penalty function has also been developed for the inclusion of the customer willingness into the profit equation. Results indicate superior performance of decentralized scheduling (DES) as compared with CES. Furthermore, the developed willingness indicator accommodates the preference of the EV driver, and the penalty factor represents the EV user's agreement with the scheduling in the profits. DES in collaborative scheduling provided the highest profits for the aggregators.

中文翻译：

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多聚合器调度中基于用户意愿的分散式电动汽车充电管理

电动汽车 (EV) 为交通排放问题提供了可持续的解决方案，但需要适当的充电管理设施。本文提出了一种在多聚合器场景中用于电动汽车调度的分散式充电管理方案，并在性能方面与集中式调度 (CES) 策略进行了比较。实施了移动感知调度，其中使用为印度斋浦尔市进行的调查对电动汽车到达充电站进行建模，以评估出行模式。提出了一种建模消费者意愿的新方法，该方法基于调度参数评估意愿，包括充电成本、充电持续时间和车辆的到达/调度时间。还开发了一个惩罚函数，用于将客户意愿纳入利润方程。结果表明，与 CES 相比，分散式调度 (DES) 具有更好的性能。此外，开发的意愿指标适应了电动汽车驾驶员的偏好，惩罚因子代表电动汽车用户对利润中的调度的同意。协同调度中的 DES 为聚合器提供了最高的利润。