Matching strategy between electric vehicles and fast charging piles based on improved deferred-acceptance algorithm

被引：0
|
作者：
Li H. [1 ,2 ]
Xia Y. [1 ]
Zhou Y. [2 ]
Feng D. [2 ]
Liu Z. [2 ]
Fang C. [3 ]
Feng Q. [1 ]
机构：
[1] School of Electrical Engineering and Information Engineering, Lanzhou University of Technology, Lanzhou
[2] Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education, Shanghai Jiao Tong University, Shanghai
[3] Electric Power Research Institute, State Grid Shanghai Municipal Electric Power Company, Shanghai
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2023年 / 43卷 / 06期
基金：
中国国家自然科学基金;
关键词：
charging guidance; deferred-acceptance algorithm; electric vehicles; fast charging piles; stable matching;
D O I：
10.16081/j.epae.202210023
中图分类号：
学科分类号：
摘要：
Aiming at the differences of electric vehicle(EV) users in selecting charging target sites,a fast matching strategy between EVs and fast charging piles considering charging choice conflict is proposed. An EV charging reservation service framework with digital map interface as the underlying data support is proposed. According to the charging preferences,the users are divided into distance-sensitive users,time-sensitive users and price-sensitive users,and the fast charging matching model considering different charging preferences is established. Referring to the deferred-acceptance algorithm of one-to-one matching in the“marriage market”,a matching strategy between EVs and fast charging piles based on the improved deferred-acceptance algorithm is proposed to solve the many-to-one matching problem in the charging service market through the multi-round calculation. Taking a test area in Shanghai as an example,the effectiveness, applicability and stability of the proposed strategy are verified. The example results show that the proposed strategy can improve the profitability of charging stations through reasonable allocation of service resources while considering the capacity utilization equilibrium of charging stations. © 2023 Electric Power Automation Equipment Press. All rights reserved.
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页码：46 / 52and70
页数：5224
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