Optimization of EV bus charging schedule by stochastic programming

Tetsuya Sato, T. Shiina, Ryunosuke Hamada
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引用次数: 0

Abstract

In recent years, introducing electric vehicle (EV) buses, their charging equipment and infrastructures has become an urgent issue. The purpose of this study is to propose a scheduling model that minimizes the total charging time of EV buses as a makespan using multiple EV buses and chargers, considering fluctuations in the charging time of each EV bus. Generally, directly solving a problem with probabilistic constraints is difficult, thus it often convert into a deterministic equivalent of stochastic program. Therefore, first, this study solved the relaxed problem of deterministic equivalent and assigned each EV bus to each charger using branch and bound (BB) method. Then, it introduced the probabilistic constraints for calculating the exact value of the makespan. The results of numerical experiments demonstrated the effectiveness of this solution.
基于随机规划的电动汽车充电计划优化
近年来,引进电动客车及其充电设备和基础设施已成为一个迫切需要解决的问题。本研究的目的是在考虑每辆电动巴士充电时间波动的情况下,提出一种使用多辆电动巴士和充电器的电动巴士总充电时间作为最大时间跨度的调度模型。一般情况下,直接求解具有概率约束的问题是困难的,因此往往将其转化为确定性的随机规划。因此,本研究首先解决了确定性等效的松弛问题,并采用分支定界(BB)方法将每辆电动汽车总线分配给每个充电器。然后,引入了计算最大时间跨度精确值的概率约束。数值实验结果证明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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