A Multiobjective Minimax Regret Robust VAr Planning Model
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1109/TPWRS.2016.2613544 http://hdl.handle.net/11449/165582 |
Resumo: | This paper proposes a risk-based mixed integer quadratically-constrained programming model for the long-term VAr planning problem. Risk aversion is included in the proposed model by means of regret-based optimization to quantify the load shedding risk because of a reactive power deficit. The expected operation and expansion costs of new installed reactive power sources and load shedding risk are jointly minimized. Uncertainty in the active and reactive load demands has been included in the model. An epsilon-constraint approach is used to characterize the optimal efficient frontier. Also, discrete tap settings of tap-changing transformers are modeled as a set of mixed integer linear equations which are embedded into an ac optimal convex power flow. Computational results are obtained from a realistic South and South-East Brazilian power system to illustrate the proposed methodology. Finally, conclusions are duly drawn. |
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Repositório Institucional da UNESP |
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A Multiobjective Minimax Regret Robust VAr Planning ModelDiscrete tap settingsload sheddingmulti-objectivequadratically-constrainedregret optimizationriskuncertaintiesThis paper proposes a risk-based mixed integer quadratically-constrained programming model for the long-term VAr planning problem. Risk aversion is included in the proposed model by means of regret-based optimization to quantify the load shedding risk because of a reactive power deficit. The expected operation and expansion costs of new installed reactive power sources and load shedding risk are jointly minimized. Uncertainty in the active and reactive load demands has been included in the model. An epsilon-constraint approach is used to characterize the optimal efficient frontier. Also, discrete tap settings of tap-changing transformers are modeled as a set of mixed integer linear equations which are embedded into an ac optimal convex power flow. Computational results are obtained from a realistic South and South-East Brazilian power system to illustrate the proposed methodology. Finally, conclusions are duly drawn.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Programa CSF-PAJT, BrazilUniv Cuenca, Sch Elect Engn, Fac Engn, Cuenca 010150, EcuadorPontifical Catholic Univ Rio de Janeiro, Dept Elect Engn, BR-22430060 Rio De Janeiro, BrazilUniv Castilla La Mancha, Escuela Tecn Super Ingn Ind, E-13071 Ciudad Real, SpainSao Paulo State Univ, Dept Elect Engn, Elect Power Syst Planning Lab, BR-18618000 Sao Paulo, BrazilSao Paulo State Univ, Dept Elect Engn, Elect Power Syst Planning Lab, BR-18618000 Sao Paulo, BrazilFAPESP: 2014-24287-0Programa CSF-PAJT, Brazil: 88887.064092-2014-00Ieee-inst Electrical Electronics Engineers IncUniv CuencaPontifical Catholic Univ Rio de JaneiroUniv Castilla La ManchaUniversidade Estadual Paulista (Unesp)Lopez, JulioPozo, DavidContreras, JavierSanches Mantovani, Jose Roberto [UNESP]2018-11-28T09:41:41Z2018-11-28T09:41:41Z2017-05-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1761-1771application/pdfhttp://dx.doi.org/10.1109/TPWRS.2016.2613544Ieee Transactions On Power Systems. Piscataway: Ieee-inst Electrical Electronics Engineers Inc, v. 32, n. 3, p. 1761-1771, 2017.0885-8950http://hdl.handle.net/11449/16558210.1109/TPWRS.2016.2613544WOS:000399998000010WOS000399998000010.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIeee Transactions On Power Systems2,742info:eu-repo/semantics/openAccess2024-07-04T19:05:51Zoai:repositorio.unesp.br:11449/165582Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T15:05:43.278470Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
A Multiobjective Minimax Regret Robust VAr Planning Model |
title |
A Multiobjective Minimax Regret Robust VAr Planning Model |
spellingShingle |
A Multiobjective Minimax Regret Robust VAr Planning Model Lopez, Julio Discrete tap settings load shedding multi-objective quadratically-constrained regret optimization risk uncertainties |
title_short |
A Multiobjective Minimax Regret Robust VAr Planning Model |
title_full |
A Multiobjective Minimax Regret Robust VAr Planning Model |
title_fullStr |
A Multiobjective Minimax Regret Robust VAr Planning Model |
title_full_unstemmed |
A Multiobjective Minimax Regret Robust VAr Planning Model |
title_sort |
A Multiobjective Minimax Regret Robust VAr Planning Model |
author |
Lopez, Julio |
author_facet |
Lopez, Julio Pozo, David Contreras, Javier Sanches Mantovani, Jose Roberto [UNESP] |
author_role |
author |
author2 |
Pozo, David Contreras, Javier Sanches Mantovani, Jose Roberto [UNESP] |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Univ Cuenca Pontifical Catholic Univ Rio de Janeiro Univ Castilla La Mancha Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Lopez, Julio Pozo, David Contreras, Javier Sanches Mantovani, Jose Roberto [UNESP] |
dc.subject.por.fl_str_mv |
Discrete tap settings load shedding multi-objective quadratically-constrained regret optimization risk uncertainties |
topic |
Discrete tap settings load shedding multi-objective quadratically-constrained regret optimization risk uncertainties |
description |
This paper proposes a risk-based mixed integer quadratically-constrained programming model for the long-term VAr planning problem. Risk aversion is included in the proposed model by means of regret-based optimization to quantify the load shedding risk because of a reactive power deficit. The expected operation and expansion costs of new installed reactive power sources and load shedding risk are jointly minimized. Uncertainty in the active and reactive load demands has been included in the model. An epsilon-constraint approach is used to characterize the optimal efficient frontier. Also, discrete tap settings of tap-changing transformers are modeled as a set of mixed integer linear equations which are embedded into an ac optimal convex power flow. Computational results are obtained from a realistic South and South-East Brazilian power system to illustrate the proposed methodology. Finally, conclusions are duly drawn. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-05-01 2018-11-28T09:41:41Z 2018-11-28T09:41:41Z |
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/10.1109/TPWRS.2016.2613544 Ieee Transactions On Power Systems. Piscataway: Ieee-inst Electrical Electronics Engineers Inc, v. 32, n. 3, p. 1761-1771, 2017. 0885-8950 http://hdl.handle.net/11449/165582 10.1109/TPWRS.2016.2613544 WOS:000399998000010 WOS000399998000010.pdf |
url |
http://dx.doi.org/10.1109/TPWRS.2016.2613544 http://hdl.handle.net/11449/165582 |
identifier_str_mv |
Ieee Transactions On Power Systems. Piscataway: Ieee-inst Electrical Electronics Engineers Inc, v. 32, n. 3, p. 1761-1771, 2017. 0885-8950 10.1109/TPWRS.2016.2613544 WOS:000399998000010 WOS000399998000010.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Ieee Transactions On Power Systems 2,742 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
1761-1771 application/pdf |
dc.publisher.none.fl_str_mv |
Ieee-inst Electrical Electronics Engineers Inc |
publisher.none.fl_str_mv |
Ieee-inst Electrical Electronics Engineers Inc |
dc.source.none.fl_str_mv |
Web of Science 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_ |
1808128459227004928 |