Publication

Charging Plug-In Electric Vehicles As a Mixed-Integer Aggregative Game

Cenedese, C., Fabiani, F., Cucuzzella, M., Scherpen, J. M. A., Cao, M. & Grammatico, S., 2019, Proceedings of the 58th Conference on Decision and Control. IEEE

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

APA

Cenedese, C., Fabiani, F., Cucuzzella, M., Scherpen, J. M. A., Cao, M., & Grammatico, S. (2019). Charging Plug-In Electric Vehicles As a Mixed-Integer Aggregative Game. In Proceedings of the 58th Conference on Decision and Control IEEE.

Author

Cenedese, Carlo ; Fabiani, F. ; Cucuzzella, Michele ; Scherpen, Jacquelien M.A. ; Cao, Ming ; Grammatico, Sergio. / Charging Plug-In Electric Vehicles As a Mixed-Integer Aggregative Game. Proceedings of the 58th Conference on Decision and Control. IEEE, 2019.

Harvard

Cenedese, C, Fabiani, F, Cucuzzella, M, Scherpen, JMA, Cao, M & Grammatico, S 2019, Charging Plug-In Electric Vehicles As a Mixed-Integer Aggregative Game. in Proceedings of the 58th Conference on Decision and Control. IEEE, 58th Conference on Decision and Control (CDC2019), Nice, France, 11/12/2019.

Standard

Charging Plug-In Electric Vehicles As a Mixed-Integer Aggregative Game. / Cenedese, Carlo; Fabiani, F.; Cucuzzella, Michele; Scherpen, Jacquelien M.A.; Cao, Ming; Grammatico, Sergio.

Proceedings of the 58th Conference on Decision and Control. IEEE, 2019.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Vancouver

Cenedese C, Fabiani F, Cucuzzella M, Scherpen JMA, Cao M, Grammatico S. Charging Plug-In Electric Vehicles As a Mixed-Integer Aggregative Game. In Proceedings of the 58th Conference on Decision and Control. IEEE. 2019


BibTeX

@inproceedings{e3daac276fcf4711b328dbf621503271,
title = "Charging Plug-In Electric Vehicles As a Mixed-Integer Aggregative Game",
abstract = "We consider the charge scheduling coordination of a fleet of plug-in electric vehicles, developing a hybrid decision-making framework for efficient and profitable usage of the distribution grid. Each charging dynamics, affected by the aggregate behavior of the whole fleet, is modelled as an inter-dependent, mixed-logical-dynamical system. The coordination problem is formalized as a generalized mixed-integer aggregative potential game, and solved via semi-decentralized implementation of a sequential best-response algorithm that leads to an approximated equilibrium of the game.",
author = "Carlo Cenedese and F. Fabiani and Michele Cucuzzella and Scherpen, {Jacquelien M.A.} and Ming Cao and Sergio Grammatico",
year = "2019",
language = "English",
booktitle = "Proceedings of the 58th Conference on Decision and Control",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Charging Plug-In Electric Vehicles As a Mixed-Integer Aggregative Game

AU - Cenedese, Carlo

AU - Fabiani, F.

AU - Cucuzzella, Michele

AU - Scherpen, Jacquelien M.A.

AU - Cao, Ming

AU - Grammatico, Sergio

PY - 2019

Y1 - 2019

N2 - We consider the charge scheduling coordination of a fleet of plug-in electric vehicles, developing a hybrid decision-making framework for efficient and profitable usage of the distribution grid. Each charging dynamics, affected by the aggregate behavior of the whole fleet, is modelled as an inter-dependent, mixed-logical-dynamical system. The coordination problem is formalized as a generalized mixed-integer aggregative potential game, and solved via semi-decentralized implementation of a sequential best-response algorithm that leads to an approximated equilibrium of the game.

AB - We consider the charge scheduling coordination of a fleet of plug-in electric vehicles, developing a hybrid decision-making framework for efficient and profitable usage of the distribution grid. Each charging dynamics, affected by the aggregate behavior of the whole fleet, is modelled as an inter-dependent, mixed-logical-dynamical system. The coordination problem is formalized as a generalized mixed-integer aggregative potential game, and solved via semi-decentralized implementation of a sequential best-response algorithm that leads to an approximated equilibrium of the game.

M3 - Conference contribution

BT - Proceedings of the 58th Conference on Decision and Control

PB - IEEE

ER -

ID: 98548669