Charging plug-in electric vehicles as a mixed-integer aggregative game
Optimization and Control
2019-10-24 v1 Computer Science and Game Theory
Multiagent Systems
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.
Cite
@article{arxiv.1910.10272,
title = {Charging plug-in electric vehicles as a mixed-integer aggregative game},
author = {Carlo Cenedese and Filippo Fabiani and Michele Cucuzzella and Jacquelien M. A. Scherpen and Ming Cao and Sergio Grammatico},
journal= {arXiv preprint arXiv:1910.10272},
year = {2019}
}
Comments
Accepted to the 58th IEEE Conference on Decision and Control 2019 Nice