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Computation and implementation of an optimal mean field control for smart charging

Abstract : 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.
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Preprints, Working Papers, ...
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https://hal.inria.fr/hal-03360851
Contributor : Adrien Seguret Connect in order to contact the contributor
Submitted on : Friday, October 1, 2021 - 9:32:00 AM
Last modification on : Tuesday, January 18, 2022 - 3:23:49 PM
Long-term archiving on: : Sunday, January 2, 2022 - 6:26:21 PM

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  • HAL Id : hal-03360851, version 1
  • ARXIV : 2110.00332

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Adrien Seguret, Cheng Wan, Clémence Alasseur. Computation and implementation of an optimal mean field control for smart charging. 2021. ⟨hal-03360851⟩

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