Stochastic Modeling and Analysis of Public Electric Vehicle Fleet Charging Station Operations
Stochastic Modeling and Analysis of Public Electric Vehicle Fleet Charging Station Operations
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DOI：
10.1109/tits.2021.3099825
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发表时间：
2022-07
影响因子：
8.5
通讯作者：
Tianyang Zhang;Xi Chen;Bin Wu;M. Dedeoglu;Junshan Zhang;L. Trajković
中科院分区：
文献类型：
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作者：
Tianyang Zhang;Xi Chen;Bin Wu;M. Dedeoglu;Junshan Zhang;L. Trajković
电动汽车(EV)车队正逐渐成长为公共交通的重要组成部分。正确规划和操作电动汽车供电设备(EVSE)对于确保电动汽车车队的高效和经济运行至关重要。充电站因其成本低、通用性强而受到市场关注。电池更换站(BS)也受到了相当大的关注，因为它们承诺提供快速和可持续的电池更换。然而，由于它们需要大量资本和基础设施部署，它们的商业可行性尚不清楚。本文建立了CS/BSS与出租车/公交车车队相互作用的随机模型。该模型基于对各种随机过程定义的用户行为的真实抽象。它还考虑了道路拥堵的动态影响。推导了分析收益边界，并通过仿真进行了验证。这些仿真结果可能对未来的公共交通研究有一定的参考价值。
The electric vehicle (EV) fleet is gradually growing into a major part of public transportation. Proper planning and operation of EV supply equipment (EVSE) is essential to ensure the efficient and economic operations of the EV fleets. Charging stations (CS) have gained market attention due to their lower cost and versatility. Battery swapping stations (BSS) have also received considerable attention because of their promise to provide fast and sustainable battery replacements. However, their commercial viability is unclear due to their requirement for large capital and infrastructure deployment. In this paper, we develop a stochastic model for interactions between CS/BSS and taxi/bus fleets. The model is based on a realistic abstraction of users’ behavior defined by various stochastic processes. It also considers the dynamic impacts of the road congestion. Analytical revenue boundaries are derived and verified by simulations. These simulation results may prove valuable for future studies of public transit.