TY - JOUR
T1 - Contract-based approach to provide electric vehicles with charging service in heterogeneous networks
AU - Chen, Huwei
AU - Su, Zhou
AU - Hui, Yilong
AU - Hui, Hui
AU - Fang, Dongfeng
N1 - Publisher Copyright:
© 2019
PY - 2019/6/7
Y1 - 2019/6/7
N2 - Recently, mobile charging stations (MCSs) have attracted more attentions compared with fixed charging stations (FCSs). Electric vehicles (EVs) can be easily provided with charging service through MCSs. However, most of existing approaches cannot be properly used to design the optimal pricing strategy for MCSs, leading to the inefficiency of power in MCSs. Thus, it is necessary to study new incentive mechanisms to improve MCSs’ profits. In this paper, we propose a contract-based scheme to maximize MCSs’ profits in the heterogeneous networks. Considering the power trading between EV users and MCSs, we develop the utility function with EV users’ types. Aiming to maximize MCSs’ profits, we formulate this problem as an optimization problem under the complete and incomplete information of EV users, respectively. Through the theoretical analysis, we prove the existence of optimal contract items, which also ensure the feasibility of EV users. Then optimal solutions can be achieved based on our proposed algorithm. Numerical and simulation results validate the effectiveness of our proposal.
AB - Recently, mobile charging stations (MCSs) have attracted more attentions compared with fixed charging stations (FCSs). Electric vehicles (EVs) can be easily provided with charging service through MCSs. However, most of existing approaches cannot be properly used to design the optimal pricing strategy for MCSs, leading to the inefficiency of power in MCSs. Thus, it is necessary to study new incentive mechanisms to improve MCSs’ profits. In this paper, we propose a contract-based scheme to maximize MCSs’ profits in the heterogeneous networks. Considering the power trading between EV users and MCSs, we develop the utility function with EV users’ types. Aiming to maximize MCSs’ profits, we formulate this problem as an optimization problem under the complete and incomplete information of EV users, respectively. Through the theoretical analysis, we prove the existence of optimal contract items, which also ensure the feasibility of EV users. Then optimal solutions can be achieved based on our proposed algorithm. Numerical and simulation results validate the effectiveness of our proposal.
KW - Contract-based scheme
KW - Electric vehicles
KW - Heterogeneous networks
KW - Mobile charging stations
UR - https://www.scopus.com/pages/publications/85063345807
U2 - 10.1016/j.neucom.2018.06.093
DO - 10.1016/j.neucom.2018.06.093
M3 - 文章
AN - SCOPUS:85063345807
SN - 0925-2312
VL - 344
SP - 61
EP - 72
JO - Neurocomputing
JF - Neurocomputing
ER -