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

李东东; 段维伊; 林顺富; 周波; 姚寅

doi:10.7500/AEPS20190726003

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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

学术研究 | 更新时间：2025-06-16

- 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
- User Guidance Based Matching Strategy for Electric Vehicle-Charging Pile in Condition of Real-time Electricity Price
- 电力系统自动化-方正平台 2020年44卷第8期页码：74-82
- 作者机构：
  
  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
- 基金信息：
  
  国家自然科学基金资助项目(51977127)
- DOI：10.7500/AEPS20190726003
  中图分类号：
- 收稿日期：2019-07-26，
  
  修回日期：2019-12-05，
  
  网络出版日期：2020-02-08，
  
  纸质出版日期：2020-04-25
- 稿件说明：
移动端阅览
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.

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.
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.

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.

关键词

Keywords

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