Coordinated recharge of electric vehicles in real time

The electric vehicle is a transportation technology that requires a management system for the electric networks of the future in order to avoid overloads and adverse effects on voltage level and power quality. This article presents a management algorithm to adjust the operation and recharge conditio...

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Autores:
Mendoza, Cristian C.
Quintero, Adriana M.
Santamaría, Francisco
Alarcon, Alexander
Tipo de recurso:
Article of journal
Fecha de publicación:
2016
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/60537
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/60537
http://bdigital.unal.edu.co/58869/
Palabra clave:
62 Ingeniería y operaciones afines / Engineering
Electric vehicle
management algorithm
recharge coordination
selection of maximum sensitivities
sensitivity ranges
voltage level
power losses
maximum capacity.
Vehículo Eléctrico
Algoritmo de gestión
recarga coordinada
selección de sensibilidades máximas
rango de sensibilidades
nivel de voltaje
pérdidas de potencia
capacidad máxima.
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
id UNACIONAL2_7350a5686d502ced1b16927c17941afd
oai_identifier_str oai:repositorio.unal.edu.co:unal/60537
network_acronym_str UNACIONAL2
network_name_str Universidad Nacional de Colombia
repository_id_str
dc.title.spa.fl_str_mv Coordinated recharge of electric vehicles in real time
title Coordinated recharge of electric vehicles in real time
spellingShingle Coordinated recharge of electric vehicles in real time
62 Ingeniería y operaciones afines / Engineering
Electric vehicle
management algorithm
recharge coordination
selection of maximum sensitivities
sensitivity ranges
voltage level
power losses
maximum capacity.
Vehículo Eléctrico
Algoritmo de gestión
recarga coordinada
selección de sensibilidades máximas
rango de sensibilidades
nivel de voltaje
pérdidas de potencia
capacidad máxima.
title_short Coordinated recharge of electric vehicles in real time
title_full Coordinated recharge of electric vehicles in real time
title_fullStr Coordinated recharge of electric vehicles in real time
title_full_unstemmed Coordinated recharge of electric vehicles in real time
title_sort Coordinated recharge of electric vehicles in real time
dc.creator.fl_str_mv Mendoza, Cristian C.
Quintero, Adriana M.
Santamaría, Francisco
Alarcon, Alexander
dc.contributor.author.spa.fl_str_mv Mendoza, Cristian C.
Quintero, Adriana M.
Santamaría, Francisco
Alarcon, Alexander
dc.subject.ddc.spa.fl_str_mv 62 Ingeniería y operaciones afines / Engineering
topic 62 Ingeniería y operaciones afines / Engineering
Electric vehicle
management algorithm
recharge coordination
selection of maximum sensitivities
sensitivity ranges
voltage level
power losses
maximum capacity.
Vehículo Eléctrico
Algoritmo de gestión
recarga coordinada
selección de sensibilidades máximas
rango de sensibilidades
nivel de voltaje
pérdidas de potencia
capacidad máxima.
dc.subject.proposal.spa.fl_str_mv Electric vehicle
management algorithm
recharge coordination
selection of maximum sensitivities
sensitivity ranges
voltage level
power losses
maximum capacity.
Vehículo Eléctrico
Algoritmo de gestión
recarga coordinada
selección de sensibilidades máximas
rango de sensibilidades
nivel de voltaje
pérdidas de potencia
capacidad máxima.
description The electric vehicle is a transportation technology that requires a management system for the electric networks of the future in order to avoid overloads and adverse effects on voltage level and power quality. This article presents a management algorithm to adjust the operation and recharge conditions of electric vehicles in real time, optimizing the use of network capacity and improving the voltage profile through the coordination of recharges depending on loss sensitivity; an approach to identify nodes where power losses can decrease or increase under a specific load condition. The results obtained by applying the strategy are presented through a random consumption model of vehicles based on existing mobility patterns using a distribution circuit of 628 nodes. This allows the identification of electric vehicle penetration after which it becomes necessary to implement the proposed management scheme.
publishDate 2016
dc.date.issued.spa.fl_str_mv 2016-05-01
dc.date.accessioned.spa.fl_str_mv 2019-07-02T18:32:58Z
dc.date.available.spa.fl_str_mv 2019-07-02T18:32:58Z
dc.type.spa.fl_str_mv Artículo de revista
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dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/article
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dc.type.content.spa.fl_str_mv Text
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dc.identifier.issn.spa.fl_str_mv ISSN: 2346-2183
dc.identifier.uri.none.fl_str_mv https://repositorio.unal.edu.co/handle/unal/60537
dc.identifier.eprints.spa.fl_str_mv http://bdigital.unal.edu.co/58869/
identifier_str_mv ISSN: 2346-2183
url https://repositorio.unal.edu.co/handle/unal/60537
http://bdigital.unal.edu.co/58869/
dc.language.iso.spa.fl_str_mv spa
language spa
dc.relation.spa.fl_str_mv https://revistas.unal.edu.co/index.php/dyna/article/view/55342
dc.relation.ispartof.spa.fl_str_mv Universidad Nacional de Colombia Revistas electrónicas UN Dyna
Dyna
dc.relation.references.spa.fl_str_mv Mendoza, Cristian C. and Quintero, Adriana M. and Santamaría, Francisco and Alarcon, Alexander (2016) Coordinated recharge of electric vehicles in real time. DYNA, 83 (197). pp. 222-231. ISSN 2346-2183
dc.rights.spa.fl_str_mv Derechos reservados - Universidad Nacional de Colombia
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.license.spa.fl_str_mv Atribución-NoComercial 4.0 Internacional
dc.rights.uri.spa.fl_str_mv http://creativecommons.org/licenses/by-nc/4.0/
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv Atribución-NoComercial 4.0 Internacional
Derechos reservados - Universidad Nacional de Colombia
http://creativecommons.org/licenses/by-nc/4.0/
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Universidad Nacional de Colombia (Sede Medellín). Facultad de Minas.
institution Universidad Nacional de Colombia
bitstream.url.fl_str_mv https://repositorio.unal.edu.co/bitstream/unal/60537/1/55342-297400-1-PB.pdf
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spelling Atribución-NoComercial 4.0 InternacionalDerechos reservados - Universidad Nacional de Colombiahttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Mendoza, Cristian C.91ef646b-db79-44cc-9c97-0254d2f69c54300Quintero, Adriana M.8da2041b-d69d-4edb-8073-61df1076d177300Santamaría, Franciscocf36134b-7eec-4af3-86d8-7372be8646a9300Alarcon, Alexanderffbdc3dc-8892-475b-96f4-517b816055783002019-07-02T18:32:58Z2019-07-02T18:32:58Z2016-05-01ISSN: 2346-2183https://repositorio.unal.edu.co/handle/unal/60537http://bdigital.unal.edu.co/58869/The electric vehicle is a transportation technology that requires a management system for the electric networks of the future in order to avoid overloads and adverse effects on voltage level and power quality. This article presents a management algorithm to adjust the operation and recharge conditions of electric vehicles in real time, optimizing the use of network capacity and improving the voltage profile through the coordination of recharges depending on loss sensitivity; an approach to identify nodes where power losses can decrease or increase under a specific load condition. The results obtained by applying the strategy are presented through a random consumption model of vehicles based on existing mobility patterns using a distribution circuit of 628 nodes. This allows the identification of electric vehicle penetration after which it becomes necessary to implement the proposed management scheme.El vehículo eléctrico es una tecnología de transporte que requiere un sistema de gestión para las redes eléctricas del futuro para evitar sobrecargas y efectos negativos en el nivel de voltaje y la calidad de potencia. Por lo tanto, este articulo presenta un algoritmo de gestión para ajustar las condiciones de operación y recarga de los vehículos eléctricos en tiempo real, optimizando el uso de la capacidad de la red y mejorando el perfil de voltaje a través de la coordinación de las recargas dependiendo de la sensibilidad de perdidas, un enfoque que identifica los nodos donde las pérdidas de potencia pueden disminuir o aumentar bajo condiciones de carga especifica. Los resultados obtenidos aplicando la estrategia, son presentados a través de un modelo de consumo aleatorio de los vehículos basado en los patrones de movilidad existentes, usando un circuito de distribución de 628 nodos. Esto permite la identificación del nivel de penetración después del cual se hace necesario implementar el esquema de gestión propuesto.application/pdfspaUniversidad Nacional de Colombia (Sede Medellín). Facultad de Minas.https://revistas.unal.edu.co/index.php/dyna/article/view/55342Universidad Nacional de Colombia Revistas electrónicas UN DynaDynaMendoza, Cristian C. and Quintero, Adriana M. and Santamaría, Francisco and Alarcon, Alexander (2016) Coordinated recharge of electric vehicles in real time. DYNA, 83 (197). pp. 222-231. ISSN 2346-218362 Ingeniería y operaciones afines / EngineeringElectric vehiclemanagement algorithmrecharge coordinationselection of maximum sensitivitiessensitivity rangesvoltage levelpower lossesmaximum capacity.Vehículo EléctricoAlgoritmo de gestiónrecarga coordinadaselección de sensibilidades máximasrango de sensibilidadesnivel de voltajepérdidas de potenciacapacidad máxima.Coordinated recharge of electric vehicles in real timeArtículo de revistainfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/ARTORIGINAL55342-297400-1-PB.pdfapplication/pdf1125209https://repositorio.unal.edu.co/bitstream/unal/60537/1/55342-297400-1-PB.pdfe312c88210d2c71416ddc6d686bf32b6MD51THUMBNAIL55342-297400-1-PB.pdf.jpg55342-297400-1-PB.pdf.jpgGenerated Thumbnailimage/jpeg9304https://repositorio.unal.edu.co/bitstream/unal/60537/2/55342-297400-1-PB.pdf.jpge538e001a48c6a1fb7bc0c22134b0141MD52unal/60537oai:repositorio.unal.edu.co:unal/605372023-04-07 23:04:44.939Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co

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