EV Charging in Smart Grids: Mean Field Equilibrium and Approximate Non-Cooperative and Cooperative Strategies

Fuente: arXiv
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Autori principali: Bo, Lijun, Liu, Fengcheng, Wang, Shihua
Natura: Preprint
Pubblicazione: 2025
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author Bo, Lijun
Liu, Fengcheng
Wang, Shihua
author_facet Bo, Lijun
Liu, Fengcheng
Wang, Shihua
contents We study the optimal charging strategies for large-scale electric vehicles in smart grids within a finite-horizon mean field game framework. We first establish the existence and uniqueness of the solution to the consistency condition equation, which characterizes the optimal charging behavior in the mean field limit. Building on this result, we construct approximate optimal charging strategies for a finite population of vehicles in both non-cooperative and cooperative settings. Finally, we provide numerical analyses that illustrate and compare the approximate strategies in the non-cooperative and cooperative games.
format Preprint
id arxiv_https___arxiv_org_abs_2509_04963
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle EV Charging in Smart Grids: Mean Field Equilibrium and Approximate Non-Cooperative and Cooperative Strategies
Bo, Lijun
Liu, Fengcheng
Wang, Shihua
Optimization and Control
We study the optimal charging strategies for large-scale electric vehicles in smart grids within a finite-horizon mean field game framework. We first establish the existence and uniqueness of the solution to the consistency condition equation, which characterizes the optimal charging behavior in the mean field limit. Building on this result, we construct approximate optimal charging strategies for a finite population of vehicles in both non-cooperative and cooperative settings. Finally, we provide numerical analyses that illustrate and compare the approximate strategies in the non-cooperative and cooperative games.
title EV Charging in Smart Grids: Mean Field Equilibrium and Approximate Non-Cooperative and Cooperative Strategies
topic Optimization and Control
url https://arxiv.org/abs/2509.04963