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实时电价条件下基于用户引导的电动汽车-充电桩匹配策略
引用本文:李东东,段维伊,林顺富,周波,姚寅. 实时电价条件下基于用户引导的电动汽车-充电桩匹配策略[J]. 电力系统自动化, 2020, 44(8): 74-82
作者姓名:李东东  段维伊  林顺富  周波  姚寅
作者单位:1.上海电力大学电气工程学院,上海市 200090;2.上海市教委高效电能应用工程研究中心,上海市 200090
基金项目:国家自然科学基金资助项目(51977127)。
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。

关 键 词:实时电价  电动汽车  聚合商  补贴费用
收稿时间:2019-07-26
修稿时间:2019-12-05

User Guidance Based Matching Strategy for Electric Vehicle-Charging Pile in Condition of Real-time Electricity Price
LI Dongdong,DUAN Weiyi,LIN Shunfu,ZHOU Bo,YAO Yin. User Guidance Based Matching Strategy for Electric Vehicle-Charging Pile in Condition of Real-time Electricity Price[J]. Automation of Electric Power Systems, 2020, 44(8): 74-82
Authors:LI Dongdong  DUAN Weiyi  LIN Shunfu  ZHOU Bo  YAO Yin
Affiliation:1.College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China;2.Shanghai Higher Institution Engineering Research Center of High Efficiency Application, Shanghai 200090, China
Abstract:With the rapid increase of the amount of electric vehicles (EVs), 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 of more EVs than charging piles leads to the problem of unbalanced distribution of charging piles. Based on this problem and combined with the real-time demand of the market, a user guidance based matching strategy for EV-charging pile is proposed. Firstly, an allocation function is established from the view of energy aggregators and the information of available charging piles is generated. Secondly, an optimization function is established from the view of users 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 within the selected geographical range and effectively participate in power dispatch by updating subsidy fees. The simulation results show that on the premise of meeting market requirements, the matching strategy for EV-charging pile considers the two-way willingness of users and aggregators, and provides a decision basis for the rational distribution of charging piles.
Keywords:real-time electricity price  electric vehicle  aggregator  subsidy fee
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