TY - JOUR
T1 - Coordinated Charging Scheme for Electric Vehicle Fast-Charging Station With Demand-Based Priority
AU - Cui, Dingsong
AU - Wang, Zhenpo
AU - Liu, Peng
AU - Zhang, Zhaosheng
AU - Wang, Shuo
AU - Zhao, Yiwen
AU - Dorrell, David G.
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2024
Y1 - 2024
N2 - The widespread adoption of electric vehicles (EVs) with fast-charging capability has presented significant challenges to the safe operation of power distribution networks. Issues such as node overvoltage and frequency fluctuations should be addressed to ensure power quality while maximizing charging quality-of-service (QoS) for EV users. This challenge is particularly crucial for fast-charging events that have more flexible demands. Charging priority has traditionally been used to determine an EV charging scheme, including waiting time, arrival order, and other factors. However, the scheduling potential predicted from the vehicle side has not been fully considered in the priority establishment when determining real-time operation. To address this gap, a bilevel framework is proposed for a coordinated charging scheme at the fast-charging station that factors in demand-based priority. The framework considers available charging power allocation at different priority levels and optimizes the charging scheme under the same priority level based on three real-time QoS objectives. This approach can improve the average charging QoS for EV users compared to traditional algorithms without considering the demand priority. In robustness evaluation, the QoS of scheduled charging events can reach 86.9% (median) of the optimal solution, and the range of fluctuations in different trials is relatively more stable.
AB - The widespread adoption of electric vehicles (EVs) with fast-charging capability has presented significant challenges to the safe operation of power distribution networks. Issues such as node overvoltage and frequency fluctuations should be addressed to ensure power quality while maximizing charging quality-of-service (QoS) for EV users. This challenge is particularly crucial for fast-charging events that have more flexible demands. Charging priority has traditionally been used to determine an EV charging scheme, including waiting time, arrival order, and other factors. However, the scheduling potential predicted from the vehicle side has not been fully considered in the priority establishment when determining real-time operation. To address this gap, a bilevel framework is proposed for a coordinated charging scheme at the fast-charging station that factors in demand-based priority. The framework considers available charging power allocation at different priority levels and optimizes the charging scheme under the same priority level based on three real-time QoS objectives. This approach can improve the average charging QoS for EV users compared to traditional algorithms without considering the demand priority. In robustness evaluation, the QoS of scheduled charging events can reach 86.9% (median) of the optimal solution, and the range of fluctuations in different trials is relatively more stable.
KW - Coordinated charging
KW - demand-based priority
KW - electric vehicle (EV)
KW - power quality
UR - http://www.scopus.com/inward/record.url?scp=85178019882&partnerID=8YFLogxK
U2 - 10.1109/TTE.2023.3334809
DO - 10.1109/TTE.2023.3334809
M3 - Article
AN - SCOPUS:85178019882
SN - 2332-7782
VL - 10
SP - 6449
EP - 6459
JO - IEEE Transactions on Transportation Electrification
JF - IEEE Transactions on Transportation Electrification
IS - 3
ER -