Charging plug-in electric vehicles as a mixed-integer aggregative game

Carlo Cenedese, Filippo Fabiani, Michele Cucuzzella, Jacquelien M.A. Scherpen, Ming Cao, Sergio Grammatico

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.

Locations

• arXiv (Cornell University) - View - PDF