TY - CHAP
T1 - Modelling congestion and price competition in EV charging markets
AU - Wang, Qi
AU - Zhang, Dongmo
AU - Du, Bo
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
KW - Charging stations
KW - Electric vehicles
KW - Stackelberg equilibrium
UR - http://www.scopus.com/inward/record.url?scp=85210147006&partnerID=8YFLogxK
UR - https://go.openathens.net/redirector/westernsydney.edu.au?url=https://doi.org/10.1007/978-3-031-77367-9_10
U2 - 10.1007/978-3-031-77367-9_10
DO - 10.1007/978-3-031-77367-9_10
M3 - Chapter
AN - SCOPUS:85210147006
SN - 9783031773662
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 114
EP - 119
BT - PRIMA 2024: Principles and Practice of Multi-Agent Systems, 25th International Conference, Kyoto, Japan, November 18-24, 2024, Proceedings
A2 - Arisaka, Ryuta
A2 - Sanchez-Anguix, Victor
A2 - Stein, Sebastian
A2 - Aydoğan, Reyhan
A2 - van der Torre, Leon
A2 - Ito, Takayuki
PB - Springer
CY - Switzerland
ER -
