
Computation and implementation of an optimal mean field control for smart charging
Seguret, Adrien; Wan, Cheng; Alasseur, Clémence (2021), Computation and implementation of an optimal mean field control for smart charging. https://basepub.dauphine.psl.eu/handle/123456789/22807
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Type
Document de travail / Working paperExternal document link
https://hal.inria.fr/hal-03360851Date
2021Series title
Cahier de recherche CEREMADE, Université Paris Dauphine-PSLPublished in
Paris
Pages
10
Metadata
Show full item recordAuthor(s)
Seguret, AdrienCEntre de REcherches en MAthématiques de la DEcision [CEREMADE]
Wan, Cheng
Optimisation, Simulation, Risque et Statistiques pour les Marchés de l’Energie [EDF R&D OSIRIS]
Alasseur, Clémence
Laboratoire de Finance des Marchés d'Energie [FiME Lab]
Abstract (EN)
This paper addresses an optimal control problem for a large population of identical plug-in electric vehicles (PEVs). The number of PEVs being large, the mean field assumption is formulated to describe the evolution of the PEVs population and its interaction with the central planner. The resulting problem of optimal control of partial differential equations (PDEs) is discretized. Using convex analysis tools, we show the existence of an optimal solution and the convergence of the Chambolle-Pock algorithm to a solution. The implementation of this optimal control to the finite population of PEVs is detailed and we illustrate our approach with two numerical examples.Subjects / Keywords
Smart charging; Optimal controlRelated items
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