The effect of deadline uncertanity on EV charge scheduling
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.
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) |
_version_ | 1814959261852106752 |
---|---|
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 |