Modelling Congestion and Price Competition in EV Charging Markets
File version
Author(s)
Zhang, Dongmo
Du, Bo
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Arisaka, Ryuta
Sanchez-Anguix, Victor
Stein, Sebastian
Aydoğan, Reyhan
van der Torre, Leon
Ito, Takayuki
Date
Size
File type(s)
Location
Kyoto, Japan
License
Abstract
This paper model the EV charging market, treating EVs and stations as players. Our findings indicate that the Nash equilibrium does not accurately reflect the real-world competition among charging stations. This discrepancy arises because the decision-making processes of EVs and charging stations are not simultaneous. In this paper, we model this hierarchical decision-making process as a Stackelberg game, where charging stations act as leaders and EVs as followers. We further demonstrate that, under certain conditions, the Stackelberg equilibrium not only exists but is also unique. To validate our model, we use EV charging data from the Sydney city road network to examine how changes in charging prices impact EV flows. The results show the dynamic interaction between EVs and charging stations, highlighting the balancing effect of charging queues and price variations.
Journal Title
Conference Title
PRIMA 2024: Principles and Practice of Multi-Agent Systems: 25th International Conference, Kyoto, Japan, November 18–24, 2024, Proceedings
Book Title
Edition
Volume
Issue
Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement
Item Access Status
Note
Access the data
Related item(s)
Subject
Persistent link to this record
Citation
Wang, Q; Zhang, D; Du, B, Modelling Congestion and Price Competition in EV Charging Markets, PRIMA 2024: Principles and Practice of Multi-Agent Systems: 25th International Conference, Kyoto, Japan, November 18–24, 2024, Proceedings, 2024, pp. 114-119