Load area aggregation considering integration of electric vehicles to the system

Current electric power systems have an increasing penetration of electric vehicles, and its effect has to be considered in different studies, such as optimal dispatch or voltage stability, among others. Additionally, considering that power system analysis becomes complex when the number of buses inc...

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Autores:
Rodríguez-García, Luis Fernando
Pérez-Londoño, Sandra Milena
Mora-Flórez, Juan José
Tipo de recurso:
Article of journal
Fecha de publicación:
2015
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/67660
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/67660
http://bdigital.unal.edu.co/68689/
Palabra clave:
62 Ingeniería y operaciones afines / Engineering
Reduction of power systems
measurement-based load modeling approach
electric vehicle
particle swarm optimization.
Reducción de sistemas de potencia
modelado de carga basado en mediciones
vehículo eléctrico
optimización por enjambre de partículas.
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
id UNACIONAL2_23515234f738b289c99775a8fa07fa86
oai_identifier_str oai:repositorio.unal.edu.co:unal/67660
network_acronym_str UNACIONAL2
network_name_str Universidad Nacional de Colombia
repository_id_str
dc.title.spa.fl_str_mv Load area aggregation considering integration of electric vehicles to the system
title Load area aggregation considering integration of electric vehicles to the system
spellingShingle Load area aggregation considering integration of electric vehicles to the system
62 Ingeniería y operaciones afines / Engineering
Reduction of power systems
measurement-based load modeling approach
electric vehicle
particle swarm optimization.
Reducción de sistemas de potencia
modelado de carga basado en mediciones
vehículo eléctrico
optimización por enjambre de partículas.
title_short Load area aggregation considering integration of electric vehicles to the system
title_full Load area aggregation considering integration of electric vehicles to the system
title_fullStr Load area aggregation considering integration of electric vehicles to the system
title_full_unstemmed Load area aggregation considering integration of electric vehicles to the system
title_sort Load area aggregation considering integration of electric vehicles to the system
dc.creator.fl_str_mv Rodríguez-García, Luis Fernando
Pérez-Londoño, Sandra Milena
Mora-Flórez, Juan José
dc.contributor.author.spa.fl_str_mv Rodríguez-García, Luis Fernando
Pérez-Londoño, Sandra Milena
Mora-Flórez, Juan José
dc.subject.ddc.spa.fl_str_mv 62 Ingeniería y operaciones afines / Engineering
topic 62 Ingeniería y operaciones afines / Engineering
Reduction of power systems
measurement-based load modeling approach
electric vehicle
particle swarm optimization.
Reducción de sistemas de potencia
modelado de carga basado en mediciones
vehículo eléctrico
optimización por enjambre de partículas.
dc.subject.proposal.spa.fl_str_mv Reduction of power systems
measurement-based load modeling approach
electric vehicle
particle swarm optimization.
Reducción de sistemas de potencia
modelado de carga basado en mediciones
vehículo eléctrico
optimización por enjambre de partículas.
description Current electric power systems have an increasing penetration of electric vehicles, and its effect has to be considered in different studies, such as optimal dispatch or voltage stability, among others. Additionally, considering that power system analysis becomes complex when the number of buses increase, this paper presents a methodology for aggregation of load areas that use a measurement-based load modeling approach based on an evolutionary computational technique and a classical reduction method. This aggregate load area model is proposed to reduce areas that consider electric vehicle (EV) load models. The proposed method provides a static equivalent load model and an equivalent network that can be used to reduce the computational effort required by power systemstudies. In order to validate the application of the proposed methodology, a 30-bus power system considering several disturbances and levels of penetration of the electric vehicles was used. The results show that the equivalent network model allows the reproduction of different events with an acceptable accuracy when it is compared to the original system behavior.
publishDate 2015
dc.date.issued.spa.fl_str_mv 2015-06-01
dc.date.accessioned.spa.fl_str_mv 2019-07-03T04:47:38Z
dc.date.available.spa.fl_str_mv 2019-07-03T04:47:38Z
dc.type.spa.fl_str_mv Artículo de revista
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dc.identifier.issn.spa.fl_str_mv ISSN: 2248-8723
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dc.relation.spa.fl_str_mv https://revistas.unal.edu.co/index.php/ingeinv/article/view/53652
dc.relation.ispartof.spa.fl_str_mv Universidad Nacional de Colombia Revistas electrónicas UN Ingeniería e Investigación
Ingeniería e Investigación
dc.relation.references.spa.fl_str_mv Rodríguez-García, Luis Fernando and Pérez-Londoño, Sandra Milena and Mora-Flórez, Juan José (2015) Load area aggregation considering integration of electric vehicles to the system. Ingeniería e Investigación, 35 (1Sup). pp. 42-49. ISSN 2248-8723
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
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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/
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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 Bogotá - Facultad de Ingeniería
institution Universidad Nacional de Colombia
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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_abf2Rodríguez-García, Luis Fernandof3b90d10-8e78-47f5-b443-e4f3caa4f83a300Pérez-Londoño, Sandra Milena5aa5d86a-abd7-47b0-9416-400d8ee7db97300Mora-Flórez, Juan José2aa86417-c5c7-47b1-b6b1-78b923702e153002019-07-03T04:47:38Z2019-07-03T04:47:38Z2015-06-01ISSN: 2248-8723https://repositorio.unal.edu.co/handle/unal/67660http://bdigital.unal.edu.co/68689/Current electric power systems have an increasing penetration of electric vehicles, and its effect has to be considered in different studies, such as optimal dispatch or voltage stability, among others. Additionally, considering that power system analysis becomes complex when the number of buses increase, this paper presents a methodology for aggregation of load areas that use a measurement-based load modeling approach based on an evolutionary computational technique and a classical reduction method. This aggregate load area model is proposed to reduce areas that consider electric vehicle (EV) load models. The proposed method provides a static equivalent load model and an equivalent network that can be used to reduce the computational effort required by power systemstudies. In order to validate the application of the proposed methodology, a 30-bus power system considering several disturbances and levels of penetration of the electric vehicles was used. The results show that the equivalent network model allows the reproduction of different events with an acceptable accuracy when it is compared to the original system behavior.Con la inclusión de los vehículos eléctricos en las redes de energía es necesario analizar su impacto en los diferentes estudios, como el caso del despacho óptimo o análisis de estabilidad de tensión, entre otros. Debido a que el análisis de los sistemas de potencia se hace más complejo a medida que se incrementa el número de barras, en este artículo se presenta una metodología para la agregación de áreas de carga, que emplea el modelado de carga basado en mediciones, que a su vez se basa en una técnica computacional evolutiva y un método clásico de reducción. Se propone este modelo de agregación de área de carga con el fin de reducir áreas que contienen modelos de carga de vehículos eléctricos. El método propuesto provee un modelo equivalente estático de carga y de la red, que puede emplearse para reducir el tiempo computacional requerido para análisis específicos en la red. La metodología propuesta se valida en el sistema modificado IEEE de 30 barras, ante diferentes perturbaciones y diferentes niveles de penetración de los vehículos eléctricos. Los resultados muestran que el equivalente de red obtenido permite reproducir los diferentes eventos con una aceptable exactitud en comparación con el comportamiento del sistema original.application/pdfspaUniversidad Nacional de Colombia - Sede Bogotá - Facultad de Ingenieríahttps://revistas.unal.edu.co/index.php/ingeinv/article/view/53652Universidad Nacional de Colombia Revistas electrónicas UN Ingeniería e InvestigaciónIngeniería e InvestigaciónRodríguez-García, Luis Fernando and Pérez-Londoño, Sandra Milena and Mora-Flórez, Juan José (2015) Load area aggregation considering integration of electric vehicles to the system. Ingeniería e Investigación, 35 (1Sup). pp. 42-49. ISSN 2248-872362 Ingeniería y operaciones afines / EngineeringReduction of power systemsmeasurement-based load modeling approachelectric vehicleparticle swarm optimization.Reducción de sistemas de potenciamodelado de carga basado en medicionesvehículo eléctricooptimización por enjambre de partículas.Load area aggregation considering integration of electric vehicles to the systemArtículo 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/ARTORIGINAL53652-266772-3-PB.pdfapplication/pdf1440414https://repositorio.unal.edu.co/bitstream/unal/67660/1/53652-266772-3-PB.pdfb94a8f3041e0ccb389114966fbcb0340MD51THUMBNAIL53652-266772-3-PB.pdf.jpg53652-266772-3-PB.pdf.jpgGenerated Thumbnailimage/jpeg8644https://repositorio.unal.edu.co/bitstream/unal/67660/2/53652-266772-3-PB.pdf.jpg291847ac92a00ea523a5072fca277d20MD52unal/67660oai:repositorio.unal.edu.co:unal/676602024-05-22 23:34:10.376Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co

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