Optimal Power Flow with Voltage-Sensitive Loads in Distribution Networks
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1109/PESGM.2016.7741302 http://hdl.handle.net/11449/234479 |
Resumo: | Traditionally, the optimal power flow (OPF) assumes a constant (active and reactive) power load model and thus it neglects the effect of the voltage sensitiveness of power load injections. As a consequence, the results from the OPF may be distorted and lead to suboptimal solutions. This paper proposes an optimal power flow, which seeks to minimize the total active power losses of a distribution network with voltage-sensitive loads. The mathematical model is highly nonlinear and nonconvex due to the ac network constraints and the voltage-sensitive load models. A Tabu Search algorithm capable of handling the non-linearities associated with practical modeling aspects is proposed. Numerical results on a 69-bus distribution test system show the effectiveness of the proposed approach, as well as the impact of the load power injections on the voltage profile of the system. |
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Repositório Institucional da UNESP |
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Optimal Power Flow with Voltage-Sensitive Loads in Distribution NetworksDistributed generationOptimal power flowTabu Search algorithmVoltage-sensitive loadsTraditionally, the optimal power flow (OPF) assumes a constant (active and reactive) power load model and thus it neglects the effect of the voltage sensitiveness of power load injections. As a consequence, the results from the OPF may be distorted and lead to suboptimal solutions. This paper proposes an optimal power flow, which seeks to minimize the total active power losses of a distribution network with voltage-sensitive loads. The mathematical model is highly nonlinear and nonconvex due to the ac network constraints and the voltage-sensitive load models. A Tabu Search algorithm capable of handling the non-linearities associated with practical modeling aspects is proposed. Numerical results on a 69-bus distribution test system show the effectiveness of the proposed approach, as well as the impact of the load power injections on the voltage profile of the system.Universidade Estadual PaulistaUniversity of WashingtonUniversidade Estadual PaulistaUniversidade Estadual Paulista (UNESP)University of WashingtonCerbantes, Marcel Chuma [UNESP]Mantovani, José Roberto Sanches [UNESP]Fernández-Blanco, RicardoOrtega-Vazquez, Miguel A.2022-05-02T18:17:33Z2022-05-02T18:17:33Z2016-11-10info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/PESGM.2016.7741302IEEE Power and Energy Society General Meeting, v. 2016-November.1944-99331944-9925http://hdl.handle.net/11449/23447910.1109/PESGM.2016.77413022-s2.0-85001821031Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIEEE Power and Energy Society General Meetinginfo:eu-repo/semantics/openAccess2024-07-04T19:11:27Zoai:repositorio.unesp.br:11449/234479Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T15:59:57.707845Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Optimal Power Flow with Voltage-Sensitive Loads in Distribution Networks |
title |
Optimal Power Flow with Voltage-Sensitive Loads in Distribution Networks |
spellingShingle |
Optimal Power Flow with Voltage-Sensitive Loads in Distribution Networks Cerbantes, Marcel Chuma [UNESP] Distributed generation Optimal power flow Tabu Search algorithm Voltage-sensitive loads |
title_short |
Optimal Power Flow with Voltage-Sensitive Loads in Distribution Networks |
title_full |
Optimal Power Flow with Voltage-Sensitive Loads in Distribution Networks |
title_fullStr |
Optimal Power Flow with Voltage-Sensitive Loads in Distribution Networks |
title_full_unstemmed |
Optimal Power Flow with Voltage-Sensitive Loads in Distribution Networks |
title_sort |
Optimal Power Flow with Voltage-Sensitive Loads in Distribution Networks |
author |
Cerbantes, Marcel Chuma [UNESP] |
author_facet |
Cerbantes, Marcel Chuma [UNESP] Mantovani, José Roberto Sanches [UNESP] Fernández-Blanco, Ricardo Ortega-Vazquez, Miguel A. |
author_role |
author |
author2 |
Mantovani, José Roberto Sanches [UNESP] Fernández-Blanco, Ricardo Ortega-Vazquez, Miguel A. |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) University of Washington |
dc.contributor.author.fl_str_mv |
Cerbantes, Marcel Chuma [UNESP] Mantovani, José Roberto Sanches [UNESP] Fernández-Blanco, Ricardo Ortega-Vazquez, Miguel A. |
dc.subject.por.fl_str_mv |
Distributed generation Optimal power flow Tabu Search algorithm Voltage-sensitive loads |
topic |
Distributed generation Optimal power flow Tabu Search algorithm Voltage-sensitive loads |
description |
Traditionally, the optimal power flow (OPF) assumes a constant (active and reactive) power load model and thus it neglects the effect of the voltage sensitiveness of power load injections. As a consequence, the results from the OPF may be distorted and lead to suboptimal solutions. This paper proposes an optimal power flow, which seeks to minimize the total active power losses of a distribution network with voltage-sensitive loads. The mathematical model is highly nonlinear and nonconvex due to the ac network constraints and the voltage-sensitive load models. A Tabu Search algorithm capable of handling the non-linearities associated with practical modeling aspects is proposed. Numerical results on a 69-bus distribution test system show the effectiveness of the proposed approach, as well as the impact of the load power injections on the voltage profile of the system. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-11-10 2022-05-02T18:17:33Z 2022-05-02T18:17:33Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1109/PESGM.2016.7741302 IEEE Power and Energy Society General Meeting, v. 2016-November. 1944-9933 1944-9925 http://hdl.handle.net/11449/234479 10.1109/PESGM.2016.7741302 2-s2.0-85001821031 |
url |
http://dx.doi.org/10.1109/PESGM.2016.7741302 http://hdl.handle.net/11449/234479 |
identifier_str_mv |
IEEE Power and Energy Society General Meeting, v. 2016-November. 1944-9933 1944-9925 10.1109/PESGM.2016.7741302 2-s2.0-85001821031 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
IEEE Power and Energy Society General Meeting |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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_ |
1808128591452438528 |