Measurement-based exponential recovery load model: development and validation

Load modeling is an important task in power system stability analysis and control. Taking this into account, the development of dynamic load models using a measurement-based load modeling strategy and an improved particle swarm optimization algorithm is presented in this paper. To accomplish this ob...

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Autores:
Rodríguez García, Luis
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/60691
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/60691
http://bdigital.unal.edu.co/59023/
Palabra clave:
62 Ingeniería y operaciones afines / Engineering
Measurement-based load modeling
particle swarm optimization
parameter estimation
exponential recovery load model
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
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repository_id_str
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, Luisf3b90d10-8e78-47f5-b443-e4f3caa4f83a300Pérez-Londoño, Sandra Milena5aa5d86a-abd7-47b0-9416-400d8ee7db97300Mora Flórez, Juan José2aa86417-c5c7-47b1-b6b1-78b923702e153002019-07-02T18:53:43Z2019-07-02T18:53:43Z2015-07-01ISSN: 2346-2183https://repositorio.unal.edu.co/handle/unal/60691http://bdigital.unal.edu.co/59023/Load modeling is an important task in power system stability analysis and control. Taking this into account, the development of dynamic load models using a measurement-based load modeling strategy and an improved particle swarm optimization algorithm is presented in this paper. To accomplish this objective, a measurement-based parameter estimation method is used for identification of an exponential recovery load model. Measurements are obtained performing dynamic simulation of an IEEE 30-bus test system under several disturbances, and additionally, cross validation technique is applied for an analysis of load model generalization capability. An adequate load modeling improves the comprehension of load behavior and the capability of reproduce transient events on power systems.application/pdfspaUniversidad Nacional de Colombia (Sede Medellín). Facultad de Minas.https://revistas.unal.edu.co/index.php/dyna/article/view/48588Universidad Nacional de Colombia Revistas electrónicas UN DynaDynaRodríguez García, Luis and Pérez Londoño, Sandra Milena and Mora Flórez, Juan José (2015) Measurement-based exponential recovery load model: development and validation. DYNA, 82 (192). pp. 131-140. ISSN 2346-218362 Ingeniería y operaciones afines / EngineeringMeasurement-based load modelingparticle swarm optimizationparameter estimationexponential recovery load modelMeasurement-based exponential recovery load model: development and validationArtículo 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/ARTORIGINAL48588-257567-1-PB.pdfapplication/pdf1303259https://repositorio.unal.edu.co/bitstream/unal/60691/1/48588-257567-1-PB.pdfbd8d2d397d8db9c7ed1fd4107f0897b9MD51THUMBNAIL48588-257567-1-PB.pdf.jpg48588-257567-1-PB.pdf.jpgGenerated Thumbnailimage/jpeg9159https://repositorio.unal.edu.co/bitstream/unal/60691/2/48588-257567-1-PB.pdf.jpg5ade0d28b139ffa684fe9fd6c8a31d64MD52unal/60691oai:repositorio.unal.edu.co:unal/606912024-04-14 23:11:33.386Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co
dc.title.spa.fl_str_mv Measurement-based exponential recovery load model: development and validation
title Measurement-based exponential recovery load model: development and validation
spellingShingle Measurement-based exponential recovery load model: development and validation
62 Ingeniería y operaciones afines / Engineering
Measurement-based load modeling
particle swarm optimization
parameter estimation
exponential recovery load model
title_short Measurement-based exponential recovery load model: development and validation
title_full Measurement-based exponential recovery load model: development and validation
title_fullStr Measurement-based exponential recovery load model: development and validation
title_full_unstemmed Measurement-based exponential recovery load model: development and validation
title_sort Measurement-based exponential recovery load model: development and validation
dc.creator.fl_str_mv Rodríguez García, Luis
Pérez-Londoño, Sandra Milena
Mora Flórez, Juan José
dc.contributor.author.spa.fl_str_mv Rodríguez García, Luis
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
Measurement-based load modeling
particle swarm optimization
parameter estimation
exponential recovery load model
dc.subject.proposal.spa.fl_str_mv Measurement-based load modeling
particle swarm optimization
parameter estimation
exponential recovery load model
description Load modeling is an important task in power system stability analysis and control. Taking this into account, the development of dynamic load models using a measurement-based load modeling strategy and an improved particle swarm optimization algorithm is presented in this paper. To accomplish this objective, a measurement-based parameter estimation method is used for identification of an exponential recovery load model. Measurements are obtained performing dynamic simulation of an IEEE 30-bus test system under several disturbances, and additionally, cross validation technique is applied for an analysis of load model generalization capability. An adequate load modeling improves the comprehension of load behavior and the capability of reproduce transient events on power systems.
publishDate 2015
dc.date.issued.spa.fl_str_mv 2015-07-01
dc.date.accessioned.spa.fl_str_mv 2019-07-02T18:53:43Z
dc.date.available.spa.fl_str_mv 2019-07-02T18:53:43Z
dc.type.spa.fl_str_mv Artículo de revista
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format http://purl.org/coar/resource_type/c_6501
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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/60691
dc.identifier.eprints.spa.fl_str_mv http://bdigital.unal.edu.co/59023/
identifier_str_mv ISSN: 2346-2183
url https://repositorio.unal.edu.co/handle/unal/60691
http://bdigital.unal.edu.co/59023/
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/48588
dc.relation.ispartof.spa.fl_str_mv Universidad Nacional de Colombia Revistas electrónicas UN Dyna
Dyna
dc.relation.references.spa.fl_str_mv Rodríguez García, Luis and Pérez Londoño, Sandra Milena and Mora Flórez, Juan José (2015) Measurement-based exponential recovery load model: development and validation. DYNA, 82 (192). pp. 131-140. 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/60691/1/48588-257567-1-PB.pdf
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