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

Autor: Fei Zhaoan, Fu Baochuan, Xi Xuefeng, Wu Zhengtian, Chen Zhenping, Xu Xinyin
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: IET Intelligent Transport Systems, Vol 14, Iss 5, Pp 432-439 (2020)
Druh dokumentu: article
ISSN: 1751-9578
1751-956X
DOI: 10.1049/iet-its.2019.0122
Popis: 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.
Databáze: Directory of Open Access Journals
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