TY - JOUR
T1 - Management of EV charging stations under advance reservations schemes in electricity markets
AU - Bernal, Rodrigo
AU - Olivares, Daniel
AU - Negrete-Pincetic, Matias
AU - Lorca, Álvaro
N1 - Publisher Copyright:
© 2020 Elsevier Ltd
PY - 2020/12
Y1 - 2020/12
N2 - As electric vehicles surpassed the 5.1 million-vehicle threshold in 2018, charging stations are becoming a growing necessity to allow electric vehicles charging while parked away from home. In addition, by harnessing the inherent flexibility of the charging process, charging stations can also provide services to the grid, such as frequency and voltage regulation. However, given that full-charge using state-of-the-art technology can take a minimum of nearly 30 min, drivers may face queues and uncertainty on the availability of charging sockets. To address this issue this work presents a model to determine the optimal management of charging stations using advance reservations. In the model, charging stations are assumed to participate in the energy and regulation markets, in addition to providing charging services to the vehicles. On the other hand, users are modeled using Satisficing decision model. The optimal management strategies are characterized by different charging tariffs and reservation fees, and their impact is analyzed in terms of the resulting charging profiles and welfare of electric vehicle users.
AB - As electric vehicles surpassed the 5.1 million-vehicle threshold in 2018, charging stations are becoming a growing necessity to allow electric vehicles charging while parked away from home. In addition, by harnessing the inherent flexibility of the charging process, charging stations can also provide services to the grid, such as frequency and voltage regulation. However, given that full-charge using state-of-the-art technology can take a minimum of nearly 30 min, drivers may face queues and uncertainty on the availability of charging sockets. To address this issue this work presents a model to determine the optimal management of charging stations using advance reservations. In the model, charging stations are assumed to participate in the energy and regulation markets, in addition to providing charging services to the vehicles. On the other hand, users are modeled using Satisficing decision model. The optimal management strategies are characterized by different charging tariffs and reservation fees, and their impact is analyzed in terms of the resulting charging profiles and welfare of electric vehicle users.
KW - Charging station management
KW - Electric vehicles
KW - Reservation schemes
UR - http://www.scopus.com/inward/record.url?scp=85091895122&partnerID=8YFLogxK
U2 - 10.1016/j.segan.2020.100388
DO - 10.1016/j.segan.2020.100388
M3 - Article
AN - SCOPUS:85091895122
SN - 2352-4677
VL - 24
JO - Sustainable Energy, Grids and Networks
JF - Sustainable Energy, Grids and Networks
M1 - 100388
ER -