TY - GEN
T1 - Coordination Control Approach of Data Flow for Geographically Distributed Charging Stations
AU - Li, Jiaxin
AU - Xu, Zhanbo
AU - Wu, Jiang
AU - Yu, Jun
AU - Zhou, Yuzhou
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - With the increasing numbers of electric vehicles and charging stations, massive data flow is transmitted between charging stations and enterprise data management centers over long distances. Electric vehicle service companies must pay a considerable expense for the data transmission. A reliable and low-cost transmission approach of the data flow is essential for these companies. Therefore, this paper proposes a coordination control approach of data flow based on a widely applied software-defined wide area network (SD-WAN) to minimize the transmission cost of data flow. Besides, the proposed method is formulated as the mixed-integer linear programming structure, which can be solved directly by commercial solvers. Numerical tests verify the efficacy of the proposed method in the stability and economy of data transmission.
AB - With the increasing numbers of electric vehicles and charging stations, massive data flow is transmitted between charging stations and enterprise data management centers over long distances. Electric vehicle service companies must pay a considerable expense for the data transmission. A reliable and low-cost transmission approach of the data flow is essential for these companies. Therefore, this paper proposes a coordination control approach of data flow based on a widely applied software-defined wide area network (SD-WAN) to minimize the transmission cost of data flow. Besides, the proposed method is formulated as the mixed-integer linear programming structure, which can be solved directly by commercial solvers. Numerical tests verify the efficacy of the proposed method in the stability and economy of data transmission.
KW - Coordination control
KW - Electric vehicle charging station
KW - Mixed-integer linear programming
KW - SD-WAN
KW - data flow
UR - https://www.scopus.com/pages/publications/85141526586
U2 - 10.1109/PESGM48719.2022.9917197
DO - 10.1109/PESGM48719.2022.9917197
M3 - 会议稿件
AN - SCOPUS:85141526586
T3 - IEEE Power and Energy Society General Meeting
BT - 2022 IEEE Power and Energy Society General Meeting, PESGM 2022
PB - IEEE Computer Society
T2 - 2022 IEEE Power and Energy Society General Meeting, PESGM 2022
Y2 - 17 July 2022 through 21 July 2022
ER -
