TY - GEN
T1 - EV Charging Station Wholesale Market Participation
T2 - 2022 North American Power Symposium, NAPS 2022
AU - Mousavi, Mohammad
AU - Qi, Li Lisa
AU - Brissette, Alexander
AU - Wu, Meng
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This paper presents a framework for simultaneous bidding and pricing strategy for wholesale market participation of electric vehicle (EV) charging stations aggregator. The proposed framework incorporates the EV charging stations' technical constraints as well as EV owners' preferences. A bi-level optimization is adopted to model the problem. In the upper level, the total profit of the EV charging station aggregator is maximized. In the lower-level problem, the EV owner's utility function is maximized. The EV owners' preferences are modeled using the quadratic utility function. The bi-level optimization problem which is non-convex and hard to solve is converted to a mixed-integer convex quadratic programming model by writing the optimal conditions of the lower-level problem that is solvable with commercial solvers. The effectiveness of the proposed framework is investigated by implementing simulation results.
AB - This paper presents a framework for simultaneous bidding and pricing strategy for wholesale market participation of electric vehicle (EV) charging stations aggregator. The proposed framework incorporates the EV charging stations' technical constraints as well as EV owners' preferences. A bi-level optimization is adopted to model the problem. In the upper level, the total profit of the EV charging station aggregator is maximized. In the lower-level problem, the EV owner's utility function is maximized. The EV owners' preferences are modeled using the quadratic utility function. The bi-level optimization problem which is non-convex and hard to solve is converted to a mixed-integer convex quadratic programming model by writing the optimal conditions of the lower-level problem that is solvable with commercial solvers. The effectiveness of the proposed framework is investigated by implementing simulation results.
KW - Distributed energy resources
KW - electric vehicle
KW - electric vehicle charging stations
KW - smart grids
KW - wholesale energy market
UR - http://www.scopus.com/inward/record.url?scp=85147249572&partnerID=8YFLogxK
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U2 - 10.1109/NAPS56150.2022.10012202
DO - 10.1109/NAPS56150.2022.10012202
M3 - Conference contribution
AN - SCOPUS:85147249572
T3 - 2022 North American Power Symposium, NAPS 2022
BT - 2022 North American Power Symposium, NAPS 2022
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 9 October 2022 through 11 October 2022
ER -