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

Conference paper (2019)

Authors

Carlo Cenedese Rijksuniversiteit Groningen
Michele Cucuzzella Rijksuniversiteit Groningen
J.M.A. Scherpen Support Delft Center for Systems and Control - Mechanical, Maritime and Materials Engineering , Rijksuniversiteit Groningen
Ming Cao Rijksuniversiteit Groningen
S. Grammatico Team Sergio Grammatico - Mechanical, Maritime and Materials Engineering ,
Research Group
Team Sergio Grammatico (Mechanical, Maritime and Materials Engineering) (TU Delft)
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Published Date

2019

Language

English

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Faculty

Mechanical, Maritime and Materials Engineering

Department

Delft Center for Systems and Control

Research Group

Team 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.

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