A demand power factor-based approach for finding the maximum loading point

This paper presents a demand power factor-based approach (DPFA) for finding the maximum loading point (MLP) of a power system using the optimal power flow (OPF). In almost all the presented models in the literature two major drawbacks are obvious: (1) the active and reactive power demands increase e...

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Detalhes bibliográficos
Autores: Pourakbari-Kasmaei, Mahdi [UNESP], Contreras, Javier, Mantovani, José Roberto Sanches [UNESP]
Tipo de documento: artigo
Estado:Versão publicada
Data de publicação:2017
País:Brasil
Recursos:Universidade Estadual Paulista (UNESP)
Repositório:Repositório Institucional da UNESP
Idioma:inglês
OAI Identifier:oai:repositorio.unesp.br:11449/178934
Acesso em linha:http://dx.doi.org/10.1016/j.epsr.2017.05.042
http://hdl.handle.net/11449/178934
Access Level:Acceso aberto
Palavra-chave:Demand power factor
Flexible loading pattern
Maximum loading point
Optimal power flow
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spelling A demand power factor-based approach for finding the maximum loading pointDemand power factorFlexible loading patternMaximum loading pointOptimal power flowThis paper presents a demand power factor-based approach (DPFA) for finding the maximum loading point (MLP) of a power system using the optimal power flow (OPF). In almost all the presented models in the literature two major drawbacks are obvious: (1) the active and reactive power demands increase equally, constantly, or at the same rate, while in the real world, this hardly ever occurs, and (2) the lack of consideration or misinterpretation of the demand power factor (DPF). This paper addresses the existing drawbacks by proposing a model based on a desired DPF, a threshold predefined by the independent system operator (ISO) that each consumer must maintain to prevent a surcharge. In the proposed DPFA, the active and reactive demands may increase differently resulting in: (1) providing a flexible loading pattern to find the best possible MLP, (2) keeping the desired DPFs at all load buses, and (3) improving the computational efficiency. To verify the DPFA, which is solvable via commercial solvers, several cases such as IEEE 14-, 30-, modified 30-, and 118-bus systems, and a large-scale 2338-bus system are conducted. Results confirm the potential, effectiveness, and superiority of the DPFA compared to the models in the literature.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Department of Electrical Engineering Power System Planning Lab Universidade Estadual Paulista (UNESP)E.T.S. de Ingenieros Industriales University of Castilla-La ManchaDepartment of Electrical Engineering Power System Planning Lab Universidade Estadual Paulista (UNESP)FAPESP: 2014/22828-3FAPESP: 2016/14319-7Universidade Estadual Paulista (Unesp)University of Castilla-La Mancha2018-12-11T17:32:48Z2018-12-11T17:32:48Z2017-10-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article283-295application/pdfhttp://dx.doi.org/10.1016/j.epsr.2017.05.042Electric Power Systems Research, v. 151, p. 283-295.0378-7796http://hdl.handle.net/11449/17893410.1016/j.epsr.2017.05.0422-s2.0-850203791582-s2.0-85020379158.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengElectric Power Systems Research1,048info:eu-repo/semantics/openAccessPourakbari-Kasmaei, Mahdi [UNESP]Contreras, JavierMantovani, José Roberto Sanches [UNESP]2024-07-04T19:05:50Zoai:repositorio.unesp.br:11449/178934Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestrepositoriounesp@unesp.bropendoar:29462024-07-04T19:05:50Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv A demand power factor-based approach for finding the maximum loading point
title A demand power factor-based approach for finding the maximum loading point
spellingShingle A demand power factor-based approach for finding the maximum loading point
Pourakbari-Kasmaei, Mahdi [UNESP]
Demand power factor
Flexible loading pattern
Maximum loading point
Optimal power flow
title_short A demand power factor-based approach for finding the maximum loading point
title_full A demand power factor-based approach for finding the maximum loading point
title_fullStr A demand power factor-based approach for finding the maximum loading point
title_full_unstemmed A demand power factor-based approach for finding the maximum loading point
title_sort A demand power factor-based approach for finding the maximum loading point
dc.creator.none.fl_str_mv Pourakbari-Kasmaei, Mahdi [UNESP]
Contreras, Javier
Mantovani, José Roberto Sanches [UNESP]
author Pourakbari-Kasmaei, Mahdi [UNESP]
author_facet Pourakbari-Kasmaei, Mahdi [UNESP]
Contreras, Javier
Mantovani, José Roberto Sanches [UNESP]
author_role author
author2 Contreras, Javier
Mantovani, José Roberto Sanches [UNESP]
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
University of Castilla-La Mancha
dc.subject.por.fl_str_mv Demand power factor
Flexible loading pattern
Maximum loading point
Optimal power flow
topic Demand power factor
Flexible loading pattern
Maximum loading point
Optimal power flow
description This paper presents a demand power factor-based approach (DPFA) for finding the maximum loading point (MLP) of a power system using the optimal power flow (OPF). In almost all the presented models in the literature two major drawbacks are obvious: (1) the active and reactive power demands increase equally, constantly, or at the same rate, while in the real world, this hardly ever occurs, and (2) the lack of consideration or misinterpretation of the demand power factor (DPF). This paper addresses the existing drawbacks by proposing a model based on a desired DPF, a threshold predefined by the independent system operator (ISO) that each consumer must maintain to prevent a surcharge. In the proposed DPFA, the active and reactive demands may increase differently resulting in: (1) providing a flexible loading pattern to find the best possible MLP, (2) keeping the desired DPFs at all load buses, and (3) improving the computational efficiency. To verify the DPFA, which is solvable via commercial solvers, several cases such as IEEE 14-, 30-, modified 30-, and 118-bus systems, and a large-scale 2338-bus system are conducted. Results confirm the potential, effectiveness, and superiority of the DPFA compared to the models in the literature.
publishDate 2017
dc.date.none.fl_str_mv 2017-10-01
2018-12-11T17:32:48Z
2018-12-11T17:32:48Z
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.epsr.2017.05.042
Electric Power Systems Research, v. 151, p. 283-295.
0378-7796
http://hdl.handle.net/11449/178934
10.1016/j.epsr.2017.05.042
2-s2.0-85020379158
2-s2.0-85020379158.pdf
url http://dx.doi.org/10.1016/j.epsr.2017.05.042
http://hdl.handle.net/11449/178934
identifier_str_mv Electric Power Systems Research, v. 151, p. 283-295.
0378-7796
10.1016/j.epsr.2017.05.042
2-s2.0-85020379158
2-s2.0-85020379158.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Electric Power Systems Research
1,048
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 283-295
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 repositoriounesp@unesp.br
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score 15,301603

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