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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
作者:
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

作者简介:

李东东(1976—),男,博士,教授,主要研究方向:风力发电与电力系统稳定控制、智能用电。E-mail:powerldd@163.com
段维伊(1994—),女,通信作者,硕士研究生,主要研究方向:电动汽车与电力市场。E-mail:powerdwy@163.com
林顺富(1983—),男,博士,教授,主要研究方向:电能质量。E-mail:shunfu.lin@163.com

通讯作者:

段维伊(1994—),女,通信作者,硕士研究生,主要研究方向:电动汽车与电力市场。E-mail:powerdwy@163.com

基金项目:

国家自然科学基金资助项目(51977127)。


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

Fund Project:

This work is supported by National Natural Science Foundation of China (No. 51977127).

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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 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.

    表 1 电动汽车聚合商提供补贴服务种类Table 1 Types of subsidized services offered by electric vehicle aggregator
    表 2 2种充放电策略的对比Table 2 Comparison between two charging and discharging strategies
    图1 引导后各区域充电桩使用情况Fig.1 Service condition of charging piles in different regions after guiding
    图2 聚合商-用户匹配情况Fig.2 Details of aggregator-user matching
    图3 用户预约具体情况Fig.3 Details of user appointment
    图 聚合商分配范围Fig. Allocation range of aggregator
    图 用户可选范围Fig. Selectable range of user
    图 第一轮匹配结果Fig. The first round of matching results
    图 聚合商组成Fig. Aggregatork composition
    图 分配流程图Fig. Flow chart of distribution
    图 虚拟地图Fig. Virtual map
    图 聚合商分配函数权重Fig. Weight of aggregator allocation function
    图 用户择优函数权重Fig. Weight of user preference function
    图 某区域30天实时电价预测曲线Fig. Real-time price forecast curve in a certain area
    图 基础补贴费用选取Fig. Choose basic subsidy fee
    图 原始各区域充电桩平均充电频次Fig. Initial frequency of use
    图 聚合商收入对比Fig. Comparison about aggregator total revenue
    图 按使用功能划分的虚拟地图Fig. Virtual map by function
    图 各区域充电桩平均使用频次Fig. Use of charging piles in different area
    图 聚合商总收入Fig. Total revenue of aggregator
    图 预约成功用户个数Fig. Number of successful users
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引用本文

李东东,段维伊,林顺富,等.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. DOI:10.7500/AEPS20190726003.
LI Dongdong,DUAN Weiyi,LIN Shunfu,et al.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. DOI:10.7500/AEPS20190726003.

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  • 收稿日期:2019-07-26
  • 最后修改日期:2019-12-05
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  • 在线发布日期: 2020-04-23
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