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arXiv 2608.24296eess.SYcs.SY

电动汽车充电权交易:概念、机制与方法

Electric Vehicle Charging Right Trading: Concept, Mechanism, and Methodology

Ruike Lyu, Yuxuan Gu, Qixin Chen

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中文总结 AI 辅助

针对电动汽车无序充电导致的拥堵问题,本文提出电动汽车充电权交易机制,利用排队论估算等待时间并更新充电价格,经仿真验证可有效减少等待时间、缓解充电拥堵。

中文摘要 AI 辅助

随着电动汽车(EV)渗透率不断提高,电动汽车无序充电及由此导致的混乱、无序和充电站(EVCS)长时间等待的问题已难以容忍。电动汽车充电权(CR)是预订预定义充电服务的权利,通过购买CR,电动汽车可减少充电等待时间,且CR价格可引导电动汽车优化充电行为。本文定义了CR,提出了CR交易机制(CRM),并分析了CRM在减少等待时间、缓解电动汽车充电拥堵方面的效果。在提出的CRM中,电动汽车可提前购买CR,CR用于估算等待时间并更新充电价格;等待时间估算采用排队论,首次考虑了充电站队列状态公开的影响。仿真结果验证了等待时间估算的准确性及所提机制的效果。

英文摘要

With the increasing penetration of electric vehicles (EVs), uncoordinated EV charging and the resulting chaos, disorder, and long waiting times at EV charging stations (EVCSs) will no longer be tolerable. An EV charging right (CR) is the right to reserve a predefined charging service. By purchasing CRs, EVs can reduce their charging waiting time, and the price of CRs can guide EVs toward optimized charging behaviors. In this article, we define CR, propose the CR trading mechanism (CRM), and analyze the effect of CRM on reducing waiting times and mitigating congestion in EV charging. In the proposed CRM, EVs can purchase CRs in advance, and the CRs are used to estimate the waiting time and update the price of charging. Queue theory is utilized in the waiting time estimation, in which the impact of disclosing queue states at EVCSs is considered for the first time. The simulation results verify the accuracy of the waiting time estimation and the effect of the proposed mechanism.

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