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arXiv · 1910.10272

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
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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.

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Carlo Cenedese, Filippo Fabiani, Michele Cucuzzella, Jacquelien M. A. Scherpen, Ming Cao, Sergio Grammatico. 2019-10-22. Charging plug-in electric vehicles as a mixed-integer aggregative game. https://arxiv.org/abs/1910.10272

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