The effect of deadline uncertanity on EV charge scheduling

Narbondo, Lucas - Ferragut, Andres - Paganini, Fernando

Resumen:

We consider an EV charging infrastructure where scheduling algorithms determine the service priority, based on the departure deadline. The focus is on the Earliest Deadline First algorithm, and the impact on its performance stemming from uncertainty in the deadlines. Through numerical simulations we evaluate the resource allocation achieved by the algorithm in two versions, depending on whether or not vehicles are curtailed after their declared deadline expires. Results are compared with a theoretical analysis of the idealized EDF algorithm. Experiments with real-world traces are also included.


Detalles Bibliográficos
2021
Agencia Nacional de Investigación e Innovación
Vehiculos Electricos.
Ingeniería y Tecnología
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información
Inglés
Agencia Nacional de Investigación e Innovación
REDI
https://hdl.handle.net/20.500.12381/468
Acceso abierto
Reconocimiento 4.0 Internacional. (CC BY)
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author Narbondo, Lucas
author2 Ferragut, Andres
Paganini, Fernando
author2_role author
author
author_facet Narbondo, Lucas
Ferragut, Andres
Paganini, Fernando
author_role author
bitstream.checksum.fl_str_mv 2d97768b1a25a7df5a347bb58fd2d77f
d6b78db5d9a83232be85472d4a729846
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
bitstream.url.fl_str_mv https://redi.anii.org.uy/jspui/bitstream/20.500.12381/468/2/license.txt
https://redi.anii.org.uy/jspui/bitstream/20.500.12381/468/1/main.pdf
collection REDI
dc.creator.none.fl_str_mv Narbondo, Lucas
Ferragut, Andres
Paganini, Fernando
dc.date.accessioned.none.fl_str_mv 2021-10-15T13:45:01Z
dc.date.available.none.fl_str_mv 2021-10-15T13:45:01Z
dc.date.issued.none.fl_str_mv 2021-09-15
dc.description.abstract.none.fl_txt_mv We consider an EV charging infrastructure where scheduling algorithms determine the service priority, based on the departure deadline. The focus is on the Earliest Deadline First algorithm, and the impact on its performance stemming from uncertainty in the deadlines. Through numerical simulations we evaluate the resource allocation achieved by the algorithm in two versions, depending on whether or not vehicles are curtailed after their declared deadline expires. Results are compared with a theoretical analysis of the idealized EDF algorithm. Experiments with real-world traces are also included.
dc.description.sponsorship.none.fl_txt_mv Agencia Nacional de Investigación e Innovación
dc.identifier.anii.es.fl_str_mv FSE_1_2018_1_153050
dc.identifier.doi.none.fl_str_mv 10.1109/ISGTLatinAmerica52371.2021.9543025
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12381/468
dc.language.iso.none.fl_str_mv eng
dc.publisher.es.fl_str_mv IEEE
dc.rights.es.fl_str_mv Acceso abierto
dc.rights.license.none.fl_str_mv Reconocimiento 4.0 Internacional. (CC BY)
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.es.fl_str_mv 2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America)
dc.source.none.fl_str_mv reponame:REDI
instname:Agencia Nacional de Investigación e Innovación
instacron:Agencia Nacional de Investigación e Innovación
dc.subject.anii.none.fl_str_mv Ingeniería y Tecnología
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información
dc.subject.es.fl_str_mv Vehiculos Electricos.
dc.title.none.fl_str_mv The effect of deadline uncertanity on EV charge scheduling
dc.type.es.fl_str_mv Artículo
dc.type.none.fl_str_mv info:eu-repo/semantics/article
dc.type.version.es.fl_str_mv Publicado
dc.type.version.none.fl_str_mv info:eu-repo/semantics/publishedVersion
description We consider an EV charging infrastructure where scheduling algorithms determine the service priority, based on the departure deadline. The focus is on the Earliest Deadline First algorithm, and the impact on its performance stemming from uncertainty in the deadlines. Through numerical simulations we evaluate the resource allocation achieved by the algorithm in two versions, depending on whether or not vehicles are curtailed after their declared deadline expires. Results are compared with a theoretical analysis of the idealized EDF algorithm. Experiments with real-world traces are also included.
eu_rights_str_mv openAccess
format article
id REDI_9b4832003070754697c02248986da58a
identifier_str_mv FSE_1_2018_1_153050
10.1109/ISGTLatinAmerica52371.2021.9543025
instacron_str Agencia Nacional de Investigación e Innovación
institution Agencia Nacional de Investigación e Innovación
instname_str Agencia Nacional de Investigación e Innovación
language eng
network_acronym_str REDI
network_name_str REDI
oai_identifier_str oai:redi.anii.org.uy:20.500.12381/468
publishDate 2021
reponame_str REDI
repository.mail.fl_str_mv jmaldini@anii.org.uy
repository.name.fl_str_mv REDI - Agencia Nacional de Investigación e Innovación
repository_id_str 9421
rights_invalid_str_mv Reconocimiento 4.0 Internacional. (CC BY)
Acceso abierto
spelling Reconocimiento 4.0 Internacional. (CC BY)Acceso abiertoinfo:eu-repo/semantics/openAccess2021-10-15T13:45:01Z2021-10-15T13:45:01Z2021-09-15https://hdl.handle.net/20.500.12381/468FSE_1_2018_1_15305010.1109/ISGTLatinAmerica52371.2021.9543025We consider an EV charging infrastructure where scheduling algorithms determine the service priority, based on the departure deadline. The focus is on the Earliest Deadline First algorithm, and the impact on its performance stemming from uncertainty in the deadlines. Through numerical simulations we evaluate the resource allocation achieved by the algorithm in two versions, depending on whether or not vehicles are curtailed after their declared deadline expires. Results are compared with a theoretical analysis of the idealized EDF algorithm. Experiments with real-world traces are also included.Agencia Nacional de Investigación e InnovaciónengIEEE2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America)reponame:REDIinstname:Agencia Nacional de Investigación e Innovacióninstacron:Agencia Nacional de Investigación e InnovaciónVehiculos Electricos.Ingeniería y TecnologíaIngeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la InformaciónThe effect of deadline uncertanity on EV charge schedulingArtículoPublicadoinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleUniversidad ORT Uruguay//Ingeniería y Tecnología/Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información/Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la InformaciónNarbondo, LucasFerragut, AndresPaganini, FernandoLICENSElicense.txtlicense.txttext/plain; charset=utf-84746https://redi.anii.org.uy/jspui/bitstream/20.500.12381/468/2/license.txt2d97768b1a25a7df5a347bb58fd2d77fMD52ORIGINALmain.pdfmain.pdfapplication/pdf12525167https://redi.anii.org.uy/jspui/bitstream/20.500.12381/468/1/main.pdfd6b78db5d9a83232be85472d4a729846MD5120.500.12381/4682021-10-15 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- Agencia Nacional de Investigación e Innovaciónfalse
spellingShingle The effect of deadline uncertanity on EV charge scheduling
Narbondo, Lucas
Vehiculos Electricos.
Ingeniería y Tecnología
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información
status_str publishedVersion
title The effect of deadline uncertanity on EV charge scheduling
title_full The effect of deadline uncertanity on EV charge scheduling
title_fullStr The effect of deadline uncertanity on EV charge scheduling
title_full_unstemmed The effect of deadline uncertanity on EV charge scheduling
title_short The effect of deadline uncertanity on EV charge scheduling
title_sort The effect of deadline uncertanity on EV charge scheduling
topic Vehiculos Electricos.
Ingeniería y Tecnología
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información
url https://hdl.handle.net/20.500.12381/468