Research on the Dispatching of Electric Vehicles Participating in Vehicle-to-Grid Interaction: Considering Grid Stability and User Benefits

被引：6

作者：

Zhang, Gang ^{[1
]}

Liu, Hong ^{[1
]}

Xie, Tuo ^{[1
]}

Li, Hua ^{[2
]}

Zhang, Kaoshe ^{[1
]}

Wang, Ruogu ^{[2
]}

机构：

[1] Xian Univ Technol, Sch Elect Engn, Xian 710048, Peoples R China

[2] State Grid Shaanxi Elect Power Co Ltd, Xian 710048, Peoples R China

来源：

ENERGIES | 2024年 / 17卷 / 04期

关键词：

electric vehicles (EVs); spatial-temporal distribution of charging demand; vehicle-to-grid interaction (V2G); behavioral decision making; discharge scheduling; DEMAND; PREDICTION;

D O I：

10.3390/en17040812

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

As the prevalence of electric vehicles (EVs) continues to grow, their charging and discharging behaviors pose a challenge to the stable operation of power systems. Therefore, this paper analyzes the charging demand of EV users through GPS trajectory data and proposes an EV-discharging-optimization model based on vehicle-to-grid interaction (V2G). Firstly, the spatial-temporal distribution of EV-charging demand is obtained by cleaning and mining the big data of traveling vehicles, considering dynamic energy consumption theory and users' willingness; secondly, a probabilistic model of EV users' participation in V2G-demand response is constructed based on expected utility theory, which both considers the heterogeneity of users and reflects the interactive influence of users' decisions; finally, a scheduling model of EV discharging in the regional grid is established. The results show that the proposed model can explore the potential of user participation in V2G in the study area, and the V2G response resources can reduce the grid fluctuation and enable users to obtain certain benefits, which achieves a win-win situation between the grid side and the user side.

引用

页数：24

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