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Power charging management strategy for electric vehicles based on a Stackelberg game

Authors :
Fei Zhaoan
Fu Baochuan
Xi Xuefeng
Wu Zhengtian
Chen Zhenping
Xu Xinyin
Source :
IET Intelligent Transport Systems, Vol 14, Iss 5, Pp 432-439 (2020)
Publication Year :
2020
Publisher :
Wiley, 2020.

Abstract

Increasing electric vehicles (EV) charging efficiency and reducing charging cost are important issues of EVs power management and key factor that affect the spread of EVs. Researching the competitive relationship between power grids and EV users is the key to solving this problem. Therefore, the authors propose a charging control strategy that is based on a 1‐N‐type Stackelberg game. In the game, power grid, retailers, and users are all able to do power decision making. Thus, the charging strategy here can flexibly meet different demands of power grid, retailers, and users. The equilibrium of the game model is solved by the inverse induction method. The benefits are compared by simulation, by the disordered charging process, and by charging control methods based on static time‐sharing electricity prices. The influence of the parameters on the charging process in the game model is analysed, and the feasibility of the proposed method is verified. Results show that load peak is reduced by 34.9% while users' charging costs are reduced by 25.1%. The approaches they proposed can effectively solve the competition between the two.

Details

Language :
English
ISSN :
17519578 and 1751956X
Volume :
14
Issue :
5
Database :
Directory of Open Access Journals
Journal :
IET Intelligent Transport Systems
Publication Type :
Academic Journal
Accession number :
edsdoj.39fb6965034530a5509756df96ac97
Document Type :
article
Full Text :
https://doi.org/10.1049/iet-its.2019.0122