Decentralized computation of charging controls for plug-in electric vehicles in the S-adapted information structure

Balmelli, Simone (Haute école de gestion de Genève, HES-SO // Haute Ecole Spécialisée de Suisse Occidentale) ; Moresino, Francesco (Haute école de gestion de Genève, HES-SO // Haute Ecole Spécialisée de Suisse Occidentale)

We study the problem of charging an arbitrary number of plug-in electric vehicles (PEV) under a real-time electricity tariff that depends on the instantaneous grid load, with the addition of a stochastic process that affects the non-PEV demand. Each PEV is subjected to individual and coupling constraints. Formally, we are facing a Generalized Nash Equilibrium (GNE) seeking problem for stochastic aggregative games. The stochastic dynamics is modelized as an event tree and included according to the S-adapted information structure, which is suitable to describe stochastic processes that are independent of the players’ control. The equilibrium is calculated by employing a decentralized scheme. We observe that the valley-filling behavior, which has been observed in previous studies concerning the PEV problem, can be significantly altered by the stochastic dynamics.


Note: Due to the COVID-19 outbreak, the European Control Conference 2020 venue in Saint Petersburg was cancelled. The proceedings of the online conference are however published according to the original schedule.


Conference Type:
full paper
Faculty:
Economie et Services
School:
HEG - Genève
Institute:
CRAG - Centre de Recherche Appliquée en Gestion
Subject(s):
Economie/gestion
Publisher:
Saint Petersburg, Russia, 12-15 May 2020
Date:
2020-05
Saint Petersburg, Russia
12-15 May 2020
Pagination:
Pp. 1336-1341
Published in:
Proceedings of the European Control Conference 2020
ISBN:
978-3-907144-02-2
External resources:
Appears in Collection:

Note: The status of this file is: restricted


 Record created 2020-07-21, last modified 2020-07-24

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