A framework for determining a prediction-of-use tariff aimed at coordinating aggregators of plug-in electric vehicles

Autores
Coria Pantano, Gustavo Ezequiel; Sanchez, Angel Manuel; Al-Sumaiti, Ameena S.; Rattá Gutiérrez, Giuseppe Aníbal; Rivera, Sergio Raul; Romero Quete, Andrés Arturo
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The objective of this article is to propose a framework for defining a day-ahead prediction-of-use tariff (POU) that promotes aggregators of the plug-in electric vehicles (PEVs) to operate as closely as possible to an optimal charging curve previously calculated by the distribution system operator (DSO). The DSO calculates this optimal charging curve to flatten the load curve of the distribution transformers as much as possible by coordinating the daily recharging of PEVs. The objective is to establish the optimal power profile of the PEV aggregators needed to flatten the power curve supplied by the transformer, so that PEV customers’ needs can be met throughout the day. The proposed framework is applied in a case study accounting for uncertainties associated with charging through Monte Carlo simulation, in order to find the POU tariff. The results demonstrate that applying the POU tariff determines the transformer’s minimum power limit necessary to meet all PEV users’ needs. Additionally, the day-ahead POU tariff does not generate new demand peaks, since it does not concentrate the energy supply of flexible loads in pre-established time bands. Finally, simulation reflects the significant effect of the PEV charging on the distribution system in terms of enhancing the voltage profile, maximizing the transformer life, and reducing the power/energy losses.
Fil: Coria Pantano, Gustavo Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
Fil: Sanchez, Angel Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
Fil: Al-Sumaiti, Ameena S.. Khalifa University; Emiratos Árabes Unidos
Fil: Rattá Gutiérrez, Giuseppe Aníbal. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
Fil: Rivera, Sergio Raul. Universidad Nacional de Colombia; Colombia
Fil: Romero Quete, Andrés Arturo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
Materia
AGGREGATOR
CHARGING COORDINATION
PLUG-IN ELECTRIC VEHICLE
POWER TRANSFORMERS
PREDICTION-OF-USE TARIFF
VALLEY FILLING
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/124883
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/124883
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling A framework for determining a prediction-of-use tariff aimed at coordinating aggregators of plug-in electric vehiclesCoria Pantano, Gustavo EzequielSanchez, Angel ManuelAl-Sumaiti, Ameena S.Rattá Gutiérrez, Giuseppe AníbalRivera, Sergio RaulRomero Quete, Andrés ArturoAGGREGATORCHARGING COORDINATIONPLUG-IN ELECTRIC VEHICLEPOWER TRANSFORMERSPREDICTION-OF-USE TARIFFVALLEY FILLINGhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2The objective of this article is to propose a framework for defining a day-ahead prediction-of-use tariff (POU) that promotes aggregators of the plug-in electric vehicles (PEVs) to operate as closely as possible to an optimal charging curve previously calculated by the distribution system operator (DSO). The DSO calculates this optimal charging curve to flatten the load curve of the distribution transformers as much as possible by coordinating the daily recharging of PEVs. The objective is to establish the optimal power profile of the PEV aggregators needed to flatten the power curve supplied by the transformer, so that PEV customers’ needs can be met throughout the day. The proposed framework is applied in a case study accounting for uncertainties associated with charging through Monte Carlo simulation, in order to find the POU tariff. The results demonstrate that applying the POU tariff determines the transformer’s minimum power limit necessary to meet all PEV users’ needs. Additionally, the day-ahead POU tariff does not generate new demand peaks, since it does not concentrate the energy supply of flexible loads in pre-established time bands. Finally, simulation reflects the significant effect of the PEV charging on the distribution system in terms of enhancing the voltage profile, maximizing the transformer life, and reducing the power/energy losses.Fil: Coria Pantano, Gustavo Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; ArgentinaFil: Sanchez, Angel Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; ArgentinaFil: Al-Sumaiti, Ameena S.. Khalifa University; Emiratos Árabes UnidosFil: Rattá Gutiérrez, Giuseppe Aníbal. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; ArgentinaFil: Rivera, Sergio Raul. Universidad Nacional de Colombia; ColombiaFil: Romero Quete, Andrés Arturo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; ArgentinaMDPI2019-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/124883Coria Pantano, Gustavo Ezequiel; Sanchez, Angel Manuel; Al-Sumaiti, Ameena S.; Rattá Gutiérrez, Giuseppe Aníbal; Rivera, Sergio Raul; et al.; A framework for determining a prediction-of-use tariff aimed at coordinating aggregators of plug-in electric vehicles; MDPI; Energies; 12; 23; 11-2019; 1-181996-1073CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/1996-1073/12/23/4487info:eu-repo/semantics/altIdentifier/doi/10.3390/en12234487info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:49:59Zoai:ri.conicet.gov.ar:11336/124883instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:49:59.535CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A framework for determining a prediction-of-use tariff aimed at coordinating aggregators of plug-in electric vehicles
title A framework for determining a prediction-of-use tariff aimed at coordinating aggregators of plug-in electric vehicles
spellingShingle A framework for determining a prediction-of-use tariff aimed at coordinating aggregators of plug-in electric vehicles
Coria Pantano, Gustavo Ezequiel
AGGREGATOR
CHARGING COORDINATION
PLUG-IN ELECTRIC VEHICLE
POWER TRANSFORMERS
PREDICTION-OF-USE TARIFF
VALLEY FILLING
title_short A framework for determining a prediction-of-use tariff aimed at coordinating aggregators of plug-in electric vehicles
title_full A framework for determining a prediction-of-use tariff aimed at coordinating aggregators of plug-in electric vehicles
title_fullStr A framework for determining a prediction-of-use tariff aimed at coordinating aggregators of plug-in electric vehicles
title_full_unstemmed A framework for determining a prediction-of-use tariff aimed at coordinating aggregators of plug-in electric vehicles
title_sort A framework for determining a prediction-of-use tariff aimed at coordinating aggregators of plug-in electric vehicles
dc.creator.none.fl_str_mv Coria Pantano, Gustavo Ezequiel
Sanchez, Angel Manuel
Al-Sumaiti, Ameena S.
Rattá Gutiérrez, Giuseppe Aníbal
Rivera, Sergio Raul
Romero Quete, Andrés Arturo
author Coria Pantano, Gustavo Ezequiel
author_facet Coria Pantano, Gustavo Ezequiel
Sanchez, Angel Manuel
Al-Sumaiti, Ameena S.
Rattá Gutiérrez, Giuseppe Aníbal
Rivera, Sergio Raul
Romero Quete, Andrés Arturo
author_role author
author2 Sanchez, Angel Manuel
Al-Sumaiti, Ameena S.
Rattá Gutiérrez, Giuseppe Aníbal
Rivera, Sergio Raul
Romero Quete, Andrés Arturo
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv AGGREGATOR
CHARGING COORDINATION
PLUG-IN ELECTRIC VEHICLE
POWER TRANSFORMERS
PREDICTION-OF-USE TARIFF
VALLEY FILLING
topic AGGREGATOR
CHARGING COORDINATION
PLUG-IN ELECTRIC VEHICLE
POWER TRANSFORMERS
PREDICTION-OF-USE TARIFF
VALLEY FILLING
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv The objective of this article is to propose a framework for defining a day-ahead prediction-of-use tariff (POU) that promotes aggregators of the plug-in electric vehicles (PEVs) to operate as closely as possible to an optimal charging curve previously calculated by the distribution system operator (DSO). The DSO calculates this optimal charging curve to flatten the load curve of the distribution transformers as much as possible by coordinating the daily recharging of PEVs. The objective is to establish the optimal power profile of the PEV aggregators needed to flatten the power curve supplied by the transformer, so that PEV customers’ needs can be met throughout the day. The proposed framework is applied in a case study accounting for uncertainties associated with charging through Monte Carlo simulation, in order to find the POU tariff. The results demonstrate that applying the POU tariff determines the transformer’s minimum power limit necessary to meet all PEV users’ needs. Additionally, the day-ahead POU tariff does not generate new demand peaks, since it does not concentrate the energy supply of flexible loads in pre-established time bands. Finally, simulation reflects the significant effect of the PEV charging on the distribution system in terms of enhancing the voltage profile, maximizing the transformer life, and reducing the power/energy losses.
Fil: Coria Pantano, Gustavo Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
Fil: Sanchez, Angel Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
Fil: Al-Sumaiti, Ameena S.. Khalifa University; Emiratos Árabes Unidos
Fil: Rattá Gutiérrez, Giuseppe Aníbal. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
Fil: Rivera, Sergio Raul. Universidad Nacional de Colombia; Colombia
Fil: Romero Quete, Andrés Arturo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
description The objective of this article is to propose a framework for defining a day-ahead prediction-of-use tariff (POU) that promotes aggregators of the plug-in electric vehicles (PEVs) to operate as closely as possible to an optimal charging curve previously calculated by the distribution system operator (DSO). The DSO calculates this optimal charging curve to flatten the load curve of the distribution transformers as much as possible by coordinating the daily recharging of PEVs. The objective is to establish the optimal power profile of the PEV aggregators needed to flatten the power curve supplied by the transformer, so that PEV customers’ needs can be met throughout the day. The proposed framework is applied in a case study accounting for uncertainties associated with charging through Monte Carlo simulation, in order to find the POU tariff. The results demonstrate that applying the POU tariff determines the transformer’s minimum power limit necessary to meet all PEV users’ needs. Additionally, the day-ahead POU tariff does not generate new demand peaks, since it does not concentrate the energy supply of flexible loads in pre-established time bands. Finally, simulation reflects the significant effect of the PEV charging on the distribution system in terms of enhancing the voltage profile, maximizing the transformer life, and reducing the power/energy losses.
publishDate 2019
dc.date.none.fl_str_mv 2019-11
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/124883
Coria Pantano, Gustavo Ezequiel; Sanchez, Angel Manuel; Al-Sumaiti, Ameena S.; Rattá Gutiérrez, Giuseppe Aníbal; Rivera, Sergio Raul; et al.; A framework for determining a prediction-of-use tariff aimed at coordinating aggregators of plug-in electric vehicles; MDPI; Energies; 12; 23; 11-2019; 1-18
1996-1073
CONICET Digital
CONICET
url http://hdl.handle.net/11336/124883
identifier_str_mv Coria Pantano, Gustavo Ezequiel; Sanchez, Angel Manuel; Al-Sumaiti, Ameena S.; Rattá Gutiérrez, Giuseppe Aníbal; Rivera, Sergio Raul; et al.; A framework for determining a prediction-of-use tariff aimed at coordinating aggregators of plug-in electric vehicles; MDPI; Energies; 12; 23; 11-2019; 1-18
1996-1073
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/1996-1073/12/23/4487
info:eu-repo/semantics/altIdentifier/doi/10.3390/en12234487
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.13397

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