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Long term profit maximization strategy for charging scheduling of electric vehicle charging station

机译:电动汽车充电站充电调度的长期利润最大化策略

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摘要

As electric vehicles (EVs) penetration level is increasing, charging infrastructure should expand. This study concentrates on the economic aspects of EV charging stations (EVCSs). When CS capacity is not enough to simultaneously charge all EVs, the EVs will wait in queues to get service. This study presents a model for EVCS and a profit-based algorithm for charging scheduling (ChSc) of EVs from viewpoint of EVCS owner. The objective function is to maximise long-term profit of EVCS owner and to minimise delay time of EVs. The charging prices of queues are different from each other, which are determined by the EVCS owner, considering energy price. The time needed to charge an EV from the minimum state of charge to fully charge is considered as a time interval. It is shown that maximising profit at each interval, named as short-term profit maximisation (STPM), does not necessarily maximise long-term profit of the EVCS owner. Then, another ChSc strategy, referred to as long-term profit maximisation (LTPM), is proposed. Simulation results confirm that with LTPM, the owner of EVCS obtains more profit in long term. Also, in comparison to STPM, the incurred average delays of EVs in queues are much less.
机译:随着电动汽车(EV)渗透率的提高,充电基础设施应得到扩展。这项研究集中在电动汽车充电站(EVCS)的经济方面。当CS容量不足以同时为所有EV充电时,EV将排队等候获得服务。从EVCS所有者的角度出发,本研究提出了一种EVCS模型和一种基于利润的EV充电计划算法。目标功能是使EVCS所有者的长期利益最大化,并最大限度地减少EV的延迟时间。队列的收费价格互不相同,这是由EVCS所有者考虑能源价格确定的。从最小充电状态到完全充电到EV所需的时间被视为一个时间间隔。结果表明,将每个时间间隔的利润最大化(称为短期利润最大化(STPM))并不一定会使EVCS所有者的长期利润最大化。然后,提出了另一种ChSc策略,称为长期利润最大化(LTPM)。仿真结果证实,使用LTPM,EVCS的所有者可以长期获得更多利润。此外,与STPM相比,队列中EV的平均延迟要少得多。

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