A convex chance-constrained model for reactive power planning
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1016/j.ijepes.2015.03.021 http://hdl.handle.net/11449/171827 |
Resumo: | This paper presents a new approach for long-term reactive power investment planning and operation using a multiperiod mixed-integer stochastic convex model, where load uncertainty is also included. The risk of not meeting the load with a certain level of confidence due to a reactive power deficit is represented by chance constraints. Tap settings of under-load tap-changing transformers are modeled as a set of mixed-integer linear equations. Existing and new discrete and continuous reactive power sources are modeled. These type of problem is challenging and have never been studied before. The proposed model is applied to the CIGRE-32 electric power system. |
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Repositório Institucional da UNESP |
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2946 |
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A convex chance-constrained model for reactive power planningChance-constrained programmingConvex modelLoad sheddingReactive power deficitReactive power planningTap settingsThis paper presents a new approach for long-term reactive power investment planning and operation using a multiperiod mixed-integer stochastic convex model, where load uncertainty is also included. The risk of not meeting the load with a certain level of confidence due to a reactive power deficit is represented by chance constraints. Tap settings of under-load tap-changing transformers are modeled as a set of mixed-integer linear equations. Existing and new discrete and continuous reactive power sources are modeled. These type of problem is challenging and have never been studied before. The proposed model is applied to the CIGRE-32 electric power system.São Paulo State University (UNESP), Department of Electrical Engineering (DEE), Ilha SolteiraPontificia Universidad Católica de Chile, Industrial and Systems Engineering DepartmentUniversity of Castilla La-Mancha, Escuela Técnica Superior de Ingenieros IndustrialesSão Paulo State University (UNESP), Department of Electrical Engineering (DEE), Ilha SolteiraUniversidade Estadual Paulista (Unesp)Pontificia Universidad Católica de Chile, Industrial and Systems Engineering DepartmentUniversity of Castilla La-Mancha, Escuela Técnica Superior de Ingenieros IndustrialesLópez, Julio [UNESP]Pozo, DavidContreras, JavierMantovani, J. R.S. [UNESP]2018-12-11T16:57:19Z2018-12-11T16:57:19Z2015-10-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article403-411application/pdfhttp://dx.doi.org/10.1016/j.ijepes.2015.03.021International Journal of Electrical Power and Energy Systems, v. 71, p. 403-411.0142-0615http://hdl.handle.net/11449/17182710.1016/j.ijepes.2015.03.0212-s2.0-849271645122-s2.0-84927164512.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInternational Journal of Electrical Power and Energy Systems1,276info:eu-repo/semantics/openAccess2024-07-04T19:06:04Zoai:repositorio.unesp.br:11449/171827Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:56:45.112170Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
A convex chance-constrained model for reactive power planning |
title |
A convex chance-constrained model for reactive power planning |
spellingShingle |
A convex chance-constrained model for reactive power planning López, Julio [UNESP] Chance-constrained programming Convex model Load shedding Reactive power deficit Reactive power planning Tap settings |
title_short |
A convex chance-constrained model for reactive power planning |
title_full |
A convex chance-constrained model for reactive power planning |
title_fullStr |
A convex chance-constrained model for reactive power planning |
title_full_unstemmed |
A convex chance-constrained model for reactive power planning |
title_sort |
A convex chance-constrained model for reactive power planning |
author |
López, Julio [UNESP] |
author_facet |
López, Julio [UNESP] Pozo, David Contreras, Javier Mantovani, J. R.S. [UNESP] |
author_role |
author |
author2 |
Pozo, David Contreras, Javier Mantovani, J. R.S. [UNESP] |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Pontificia Universidad Católica de Chile, Industrial and Systems Engineering Department University of Castilla La-Mancha, Escuela Técnica Superior de Ingenieros Industriales |
dc.contributor.author.fl_str_mv |
López, Julio [UNESP] Pozo, David Contreras, Javier Mantovani, J. R.S. [UNESP] |
dc.subject.por.fl_str_mv |
Chance-constrained programming Convex model Load shedding Reactive power deficit Reactive power planning Tap settings |
topic |
Chance-constrained programming Convex model Load shedding Reactive power deficit Reactive power planning Tap settings |
description |
This paper presents a new approach for long-term reactive power investment planning and operation using a multiperiod mixed-integer stochastic convex model, where load uncertainty is also included. The risk of not meeting the load with a certain level of confidence due to a reactive power deficit is represented by chance constraints. Tap settings of under-load tap-changing transformers are modeled as a set of mixed-integer linear equations. Existing and new discrete and continuous reactive power sources are modeled. These type of problem is challenging and have never been studied before. The proposed model is applied to the CIGRE-32 electric power system. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-10-01 2018-12-11T16:57:19Z 2018-12-11T16:57:19Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1016/j.ijepes.2015.03.021 International Journal of Electrical Power and Energy Systems, v. 71, p. 403-411. 0142-0615 http://hdl.handle.net/11449/171827 10.1016/j.ijepes.2015.03.021 2-s2.0-84927164512 2-s2.0-84927164512.pdf |
url |
http://dx.doi.org/10.1016/j.ijepes.2015.03.021 http://hdl.handle.net/11449/171827 |
identifier_str_mv |
International Journal of Electrical Power and Energy Systems, v. 71, p. 403-411. 0142-0615 10.1016/j.ijepes.2015.03.021 2-s2.0-84927164512 2-s2.0-84927164512.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
International Journal of Electrical Power and Energy Systems 1,276 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
403-411 application/pdf |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128725791801344 |