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...
- 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
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| 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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http://purl.org/coar/resource_type/c_2df8fbb1 |
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info:eu-repo/semantics/article |
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info:eu-repo/semantics/publishedVersion |
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http://purl.org/coar/resource_type/c_6501 |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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Text |
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http://purl.org/redcol/resource_type/ART |
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http://purl.org/coar/resource_type/c_6501 |
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publishedVersion |
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ISSN: 2346-2183 |
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https://repositorio.unal.edu.co/handle/unal/60537 |
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http://bdigital.unal.edu.co/58869/ |
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ISSN: 2346-2183 |
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https://repositorio.unal.edu.co/handle/unal/60537 http://bdigital.unal.edu.co/58869/ |
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spa |
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spa |
| dc.relation.spa.fl_str_mv |
https://revistas.unal.edu.co/index.php/dyna/article/view/55342 |
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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 |
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http://purl.org/coar/access_right/c_abf2 |
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Atribución-NoComercial 4.0 Internacional |
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http://creativecommons.org/licenses/by-nc/4.0/ |
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info:eu-repo/semantics/openAccess |
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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 |
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openAccess |
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Universidad Nacional de Colombia (Sede Medellín). Facultad de Minas. |
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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 |