TY - GEN
T1 - A novel pricing mechanism to optimally schedule the charging demands with user utilities
AU - Hui, Hui
AU - Su, Zhou
AU - Yang, Tingting
AU - Hui, Yilong
AU - Liu, Qiaorong
AU - Xing, Rui
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - As an emerging solution to mitigate the problems of the shortage of power resources, electric vehicles (EVs) have advocated to provide safety and convenient driving recently. However, with the ever increasing number of EVs and the new demand of services, how to optimally schedule the charging services becomes a challenge. Therefore, in this paper we present a novel pricing mechanism to optimally schedule the charging demands with user utilities. Firstly, a framework with a nonpreemptive priority charging service is shown for users to queue up. Secondly, based on queuing theory, a novel pricing mechanism is designed to balance the load of charging station by considering the characteristics of different regions and the status of queue. Thirdly, the user utility is studied according to the distance, waiting time as well as the expense, in order to improve the user utility. Finally, simulation results show that the proposed scheme can optimally distribute the charging demand and improve the user utility more efficiently than other conventional methods.
AB - As an emerging solution to mitigate the problems of the shortage of power resources, electric vehicles (EVs) have advocated to provide safety and convenient driving recently. However, with the ever increasing number of EVs and the new demand of services, how to optimally schedule the charging services becomes a challenge. Therefore, in this paper we present a novel pricing mechanism to optimally schedule the charging demands with user utilities. Firstly, a framework with a nonpreemptive priority charging service is shown for users to queue up. Secondly, based on queuing theory, a novel pricing mechanism is designed to balance the load of charging station by considering the characteristics of different regions and the status of queue. Thirdly, the user utility is studied according to the distance, waiting time as well as the expense, in order to improve the user utility. Finally, simulation results show that the proposed scheme can optimally distribute the charging demand and improve the user utility more efficiently than other conventional methods.
KW - Electric vehicles
KW - Pricing mechanism
KW - Queuing Theory
UR - https://www.scopus.com/pages/publications/85045266867
U2 - 10.1109/VTCFall.2017.8288325
DO - 10.1109/VTCFall.2017.8288325
M3 - 会议稿件
AN - SCOPUS:85045266867
T3 - IEEE Vehicular Technology Conference
SP - 1
EP - 5
BT - 2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 86th IEEE Vehicular Technology Conference, VTC Fall 2017
Y2 - 24 September 2017 through 27 September 2017
ER -