TY - GEN
T1 - Location Analysis of Electric Vehicle Charging Stations for Maximum Capacity and Coverage
AU - Safak Bayram, I.
AU - Bayhan, Sertac
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/7
Y1 - 2020/7
N2 - Electric vehicle charging facility location is a critical component of long-term strategic planning. Integration of electric vehicles into mainstream adoption has unique characteristics as it requires a careful investigation of both electric and transportation networks. In this paper, we provide an overview of recent approaches in location analyses of electric vehicle charging infrastructures. We review approaches from classical operations research for fast and slow charging stations. Sample formulations along with case studies are presented to provide insights. We discuss that classical methods are appropriate to address the coverage of charging networks which is defined as average time or distance to reach a charging station when needed. On the other hand, calculating required capacity, defined as the individual charging resources at each node, is still an open research topic. In the final part, we present stochastic facility location theory that uses queuing and other probabilistic approaches.
AB - Electric vehicle charging facility location is a critical component of long-term strategic planning. Integration of electric vehicles into mainstream adoption has unique characteristics as it requires a careful investigation of both electric and transportation networks. In this paper, we provide an overview of recent approaches in location analyses of electric vehicle charging infrastructures. We review approaches from classical operations research for fast and slow charging stations. Sample formulations along with case studies are presented to provide insights. We discuss that classical methods are appropriate to address the coverage of charging networks which is defined as average time or distance to reach a charging station when needed. On the other hand, calculating required capacity, defined as the individual charging resources at each node, is still an open research topic. In the final part, we present stochastic facility location theory that uses queuing and other probabilistic approaches.
KW - electric vehicle charging stations
KW - location theory
KW - power grids
KW - transportation networks
UR - http://www.scopus.com/inward/record.url?scp=85090825989&partnerID=8YFLogxK
U2 - 10.1109/CPE-POWERENG48600.2020.9161639
DO - 10.1109/CPE-POWERENG48600.2020.9161639
M3 - Conference contribution
AN - SCOPUS:85090825989
T3 - Proceedings - 2020 IEEE 14th International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2020
SP - 409
EP - 414
BT - Proceedings - 2020 IEEE 14th International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2020
Y2 - 8 July 2020 through 10 July 2020
ER -