TY - GEN
T1 - Optimal Planning of Electric Vehicles Energy Exchange in Parking Lots Considering Uncertainties
AU - Sanchez, David A.
AU - Torres, Santiago P.
AU - Chillogalli, Jose E.
AU - Chamorro, Harold R.
AU - Gonzalez, Luis G.
AU - Sood, Vijay K.
AU - Romero, Ruben R.
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - With the growing concern for energy conservation and environmental protection around the world, the use of Electric Vehicles (EVs) is being encouraged. In this way, the optimum allocation of EVs' parked in a distribution network is a challenging issue. In this paper, the optimal energy exchange between EVs and the distribution network is analyzed in two types of parking lots, which will be controlled by a charging provider or aggregator, and where the randomness related to vehicles and vehicle-to-grid (V2G) capability at the charging stations will be considered. In this way the stochastic behavior of an EV during the day was formulated as a mixed integer linear programming (MILP) problem, and Monte Carlo simulations were used to estimate the optimal loading and unloading patterns of EVs inside the parking lots based on the time-of-use (ToU) tariffs.
AB - With the growing concern for energy conservation and environmental protection around the world, the use of Electric Vehicles (EVs) is being encouraged. In this way, the optimum allocation of EVs' parked in a distribution network is a challenging issue. In this paper, the optimal energy exchange between EVs and the distribution network is analyzed in two types of parking lots, which will be controlled by a charging provider or aggregator, and where the randomness related to vehicles and vehicle-to-grid (V2G) capability at the charging stations will be considered. In this way the stochastic behavior of an EV during the day was formulated as a mixed integer linear programming (MILP) problem, and Monte Carlo simulations were used to estimate the optimal loading and unloading patterns of EVs inside the parking lots based on the time-of-use (ToU) tariffs.
KW - Electric Vehicles
KW - Monte Carlo simulation
KW - optimization energy Exchange
KW - time-of-use tariffs
UR - https://www.scopus.com/pages/publications/85143800696
U2 - 10.1109/ISGT-Europe54678.2022.9960637
DO - 10.1109/ISGT-Europe54678.2022.9960637
M3 - Contribución a la conferencia
AN - SCOPUS:85143800696
T3 - IEEE PES Innovative Smart Grid Technologies Conference Europe
BT - Proceedings of 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2022
PB - IEEE Computer Society
T2 - 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2022
Y2 - 10 October 2022 through 12 October 2022
ER -