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共存式预约机制下电动汽车充电服务能力配置研究

查冬兰, 张硕, 余义   

  1. 南京航空航天大学经济与管理学院, 江苏 211106 中国
    南京航空航天大学能源软科学研究中心, 江苏 211106 中国
    南京邮电大学管理学院, 江苏 210003 中国
  • 收稿日期:2026-05-16 修回日期:2026-08-05 接受日期:2026-08-07
  • 通讯作者: 张硕
  • 基金资助:
    我国城市可再生能源转型驱动机理与演化路径研究(25VRC051)

Service capacity allocation for electric vehicle charging under a coexisting reservation mechanism

  1. , 211106, China
    , 210003, China
  • Received:2026-05-16 Revised:2026-08-05 Accepted:2026-08-07

摘要: 随着电动汽车充电基础设施快速建设,如何从存量优化视角提升公共充电站服务效率,已成为制约电动汽车充电服务高质量发展的关键环节。本文针对预约用户与即时到达用户并存的公共充电场景,构建先到先服务机制、静态共存式预约机制和动态共存式预约机制,并基于九类负载—峰型组合场景开展仿真实验。研究结果表明,共存式预约机制的营业收入增加具有场景依赖性;除轻载平缓等状态差异较小的场景外,动态机制总体表现优于静态机制,静态机制总体表现优于先到先服务机制,预约机制的附加收益主要出现在需求波动较强或负载压力较高的场景中;机制分解表明,预约机制的主要收益来源是将原本可能退出的需求转化为实际完成服务,服务流失和失约损失则构成机制成本。机制边界分析表明,动态机制在履约环境较差、快充时代到来及供需扰动下仍具有一定收入增量,但其优势存在明确的场景和实施边界。研究可为充电运营商选择预约配额与动态响应规则提供依据。

关键词: 充电预约, 电动汽车, 共存式预约, 服务能力配置

Abstract: With the rapid expansion of electric vehicle charging infrastructure, increased attention has been paid to improving the service efficiency of public charging stations through the optimization of existing capacity. Three service mechanisms are developed for public charging settings in which reservation users and walk-in users coexist: a first-come, first-served (FCFS) mechanism, a static coexisting reservation mechanism, and a dynamic coexisting reservation mechanism. Simulation experiments are conducted under nine load–peak-profile scenarios. The revenue gains generated by the coexisting reservation mechanisms are found to be scenario-dependent. Except in light-load, flat-peak scenarios where differences in system states are limited, the dynamic mechanism is generally found to outperform the static mechanism, while the static mechanism generally outperforms the FCFS mechanism. The additional value of the reservation mechanisms is mainly realized in scenarios characterized by strong demand fluctuations or high load pressure. It is further shown through mechanism decomposition that the primary benefit of the reservation mechanisms is derived from converting demand that would otherwise be lost into completed charging services, whereas service loss and no-show or late-cancellation loss constitute the main mechanism costs. Through boundary analysis, the dynamic mechanism is also found to generate certain revenue gains under lower fulfillment quality, the transition toward fast charging, and supply–demand disturbances, although its advantages are subject to clear scenario and implementation boundaries. Practical guidance is provided for charging operators in selecting reservation quotas and dynamic response rules for public charging stations.

Key words: charging reservation, electric vehicle, coexisting reservation mechanism, service capacity allocation