Scheduling EV charging with uncertain departure times

Autor:	Ferragut, Andres, Narbondo, Lucas, Paganini, Fernando
Rok vydání:	2022
Předmět:	Computer Networks and Communications Hardware and Architecture Ingeniería y Tecnología Vehiculos Electricos Ingeniería Eléctrica Ingeniería Electrónica e Ingeniería de la Información Software
Zdroj:	ACM Performance Evaluation Review REDI Agencia Nacional de Investigación e Innovación instacron:Agencia Nacional de Investigación e Innovación
ISSN:	0163-5999
DOI:	10.1145/3529113.3529117
Popis:	In an EV charging facility, with multiple vehicles requesting charge simultaneously, scheduling becomes crucial to provide adequate service under vehicle sojourn time constraints. However, these departure times may not be known accurately, and typical policies such as Earliest-Deadline- First or Least-Laxity-First are affected by this uncertainty in information. In this paper, we analyze the performance of these policies under uncertain deadlines, using a mean- field approach. We characterize the deviation in individual attained service as a function of the uncertainty. Since incentives appear to under-report deadlines in order to be prioritized, we analyze a simple modification of the policies to enforce incentive compatibility. Simulation experiments are carried out with a practical data set. Agencia Nacional de Investigación e Innovación
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b29c535f1f2a6cd2859e29b8aa5c6d1 https://doi.org/10.1145/3529113.3529117 Zobrazit plný text záznamu