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基于用户引导的实时电价条件下电动汽车-充电桩匹配策略
作者:
作者单位:

1.上海电力大学;2.上海电力大学电气工程学院;3.上海市教委高效电能应用工程研究中心

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基金项目:

国家自然科学基金项目(51977127);上海市科学技术委员会地方院校能力建设项目(19020500800);上海市教育委员会和上海市教育发展基金会“晨光计划”(17CG56)


User Guidance Based Matching Strategy of Electric Vehicle-Charging Pile in Condition of Real-time Electricity Price
Author:
Affiliation:

1.Shanghai University of Electric Power;2.Shanghai Higher Institution Engineering Research Center of High Efficiency Application

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    摘要:

    随着电动汽车数量的快速增长,充放电需求也日益增加,但基础设施的增长速度却较为缓慢,车多桩少的现状带来了充电桩分配不合理的问题。据此,结合市场实时需求提出一种基于用户引导的电动汽车-充电桩匹配策略。首先,从聚合商的角度建立分配函数并给出可用充电桩的信息;其次,从用户的角度建立择优函数确定可选充电桩的范围;最后,在实时电价的条件下通过更新补贴费用引导用户在待选范围内选择合适的充电桩充放电并有效参与市场平衡。仿真结果表明,在满足市场要求的前提下,该策略更好地兼顾了用户与聚合商的双向意愿,为充电桩的合理分配提供决策依据。

    Abstract:

    With the rapid growth of the amount of Electric Vehicles (EV), the demand for battery charging and discharging is also increasing correspondingly, but the growth rate of infrastructure construction is still relatively slow. The current situation is there is more EVs than charging piles. This has led to the problem of unbalanced distribution of charging piles. Based on this problem and combined with the real-time market demand, a user-guided EV-charging pile matching strategy is proposed. Firstly, an allocation function is established from the energy aggregator"s viewpoint and generate the information of available charging piles. Secondly, an optimization function is established from the user"s viewpoint to determine the geographical range of available charging piles. Finally, considering real-time electricity prices, EV users are encouraged to select appropriate charging piles for charging and discharging battery within the selected geographical range and effectively participate in power dispatch by updating subsidy fees. The Simulation results show that under the market requirements, the EV-charging pile matching strategy considers the two-way willingness of users and aggregators, and provides a decision basis for the rational distribution of charging piles.

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引用本文

李东东,段维伊,林顺富,等.基于用户引导的实时电价条件下电动汽车-充电桩匹配策略[J/OL].电力系统自动化,http://doi.org/10.7500/AEPS20190726003.
Li Dongdong,Duan Weiyi,Lin Shunfu,et al.User Guidance Based Matching Strategy of Electric Vehicle-Charging Pile in Condition of Real-time Electricity Price[J/OL].Automation of Electric Power Systems,http://doi.org/10.7500/AEPS20190726003.

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历史
  • 收稿日期:2019-07-26
  • 最后修改日期:2020-02-08
  • 录用日期:2019-12-11
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