TY - JOUR
T1 - Planning of fast charging stations with consideration of EV user, distribution network and station operation
AU - Asna, Madathodika
AU - Shareef, Hussain
AU - Prasanthi, Achikkulath
N1 - Funding Information:
This work was supported by the Roadway, Transportation and Traffic Safety Research Center (RTTSRC) at UAE University [fund code 31R224-RTTSC(1)-2019].
Publisher Copyright:
© 2023 The Author(s)
PY - 2023/5
Y1 - 2023/5
N2 - Despite the benefits of electric vehicles (EV) as a sustainable alternative to fossil fuel-powered vehicles, the lack of suitable fast charging stations (FCS) continues to be a barrier to widespread EV adoption. Different factors affecting EV user, distribution network and CS operation must be taken into account when selecting CS locations and capacity. The purpose of this study is to design a FCS location and capacity planning framework that considers EV user travel time and waiting time, distribution network power loss, and station utilization aspects. Besides, a prior utilization rate-based queuing algorithm is proposed to determine the CS capacity, which simultaneously reduce user waiting time and affirms adequate station utilization. Then binary atom search optimization algorithm is employed to solve the FCS location and capacity problem. The proposed model is tested on an integrated transportation network and distribution network and the numerical results are provided and analysed from the perspectives of the distribution network, EV user, and CS operation.
AB - Despite the benefits of electric vehicles (EV) as a sustainable alternative to fossil fuel-powered vehicles, the lack of suitable fast charging stations (FCS) continues to be a barrier to widespread EV adoption. Different factors affecting EV user, distribution network and CS operation must be taken into account when selecting CS locations and capacity. The purpose of this study is to design a FCS location and capacity planning framework that considers EV user travel time and waiting time, distribution network power loss, and station utilization aspects. Besides, a prior utilization rate-based queuing algorithm is proposed to determine the CS capacity, which simultaneously reduce user waiting time and affirms adequate station utilization. Then binary atom search optimization algorithm is employed to solve the FCS location and capacity problem. The proposed model is tested on an integrated transportation network and distribution network and the numerical results are provided and analysed from the perspectives of the distribution network, EV user, and CS operation.
KW - Atom search optimization
KW - Fast charging station
KW - Grid safety
KW - Location and capacity
KW - Station utilization
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U2 - 10.1016/j.egyr.2023.01.063
DO - 10.1016/j.egyr.2023.01.063
M3 - Article
AN - SCOPUS:85146582885
SN - 2352-4847
VL - 9
SP - 455
EP - 462
JO - Energy Reports
JF - Energy Reports
ER -