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

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.
Original languageEnglish
Title of host publicationProceedings of the 58th Conference on Decision and Control
Publication statusPublished - 2019
Event58th Conference on Decision and Control (CDC2019) - Nice, France
Duration: 11-Dec-201913-Dec-2019


Conference58th Conference on Decision and Control (CDC2019)


58th Conference on Decision and Control (CDC2019)


Nice, France

Event: Conference

ID: 98548669