Optimal Operation of Active Distribution Systems with Voltage Control and Closed-Loop Topology
Autor(a) principal: | |
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Data de Publicação: | 2021 |
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/PowerTech46648.2021.9495076 http://hdl.handle.net/11449/229305 |
Resumo: | This paper presents a new stochastic mixed-integer second-order cone programming model to solve the problem of optimal operation of distribution systems considering network reconfiguration, voltage control devices, dispatchable and nondispatchable distributed generators (DGs), and the possibility of closed-loop topology operation. The decision variables are the active and reactive power generation of DGs, the tap position of substations' (SS) on-load tap changers and voltage regulators, the number of switchable capacitor banks in operation, and the operational statuses of sectionalizing and tie switches. The proposed formulation considers the minimization of (i) the cost of the energy purchased from the distribution SSs and dispatchable DGs, (ii) greenhouse gas emissions, (iii) technical energy losses, and (iv) the number of basic loops formed in the network. Tests are carried out using the 33-node system and the results demonstrate the effectiveness of the proposed formulation. The benefits provided by the presented approach include reduced operational costs and greenhouse gas emissions mitigation. |
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Repositório Institucional da UNESP |
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Optimal Operation of Active Distribution Systems with Voltage Control and Closed-Loop TopologyClosed-loop topologydistributed generationdistribution systems reconfigurationmixed-integer second-order cone programmingvoltage-dependent modelsThis paper presents a new stochastic mixed-integer second-order cone programming model to solve the problem of optimal operation of distribution systems considering network reconfiguration, voltage control devices, dispatchable and nondispatchable distributed generators (DGs), and the possibility of closed-loop topology operation. The decision variables are the active and reactive power generation of DGs, the tap position of substations' (SS) on-load tap changers and voltage regulators, the number of switchable capacitor banks in operation, and the operational statuses of sectionalizing and tie switches. The proposed formulation considers the minimization of (i) the cost of the energy purchased from the distribution SSs and dispatchable DGs, (ii) greenhouse gas emissions, (iii) technical energy losses, and (iv) the number of basic loops formed in the network. Tests are carried out using the 33-node system and the results demonstrate the effectiveness of the proposed formulation. The benefits provided by the presented approach include reduced operational costs and greenhouse gas emissions mitigation.São Paulo State University-UNESP Department of Electrical Engineering Ilha SolteiraUfabcFeup and Inesc TecSão Paulo State University-UNESP Department of Electrical Engineering Ilha SolteiraUniversidade Estadual Paulista (UNESP)Universidade Federal do ABC (UFABC)Feup and Inesc TecHome-Ortiz, Juan M. [UNESP]MacEdo, Leonardo H. [UNESP]Mantovani, Jose R. S. [UNESP]Romero, Ruben [UNESP]Vargas, RenzoCatalao, Joao P. S.2022-04-29T08:31:49Z2022-04-29T08:31:49Z2021-06-28info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/PowerTech46648.2021.94950762021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings.http://hdl.handle.net/11449/22930510.1109/PowerTech46648.2021.94950762-s2.0-85112372972Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedingsinfo:eu-repo/semantics/openAccess2024-07-04T19:11:26Zoai:repositorio.unesp.br:11449/229305Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T15:11:33.216778Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Optimal Operation of Active Distribution Systems with Voltage Control and Closed-Loop Topology |
title |
Optimal Operation of Active Distribution Systems with Voltage Control and Closed-Loop Topology |
spellingShingle |
Optimal Operation of Active Distribution Systems with Voltage Control and Closed-Loop Topology Home-Ortiz, Juan M. [UNESP] Closed-loop topology distributed generation distribution systems reconfiguration mixed-integer second-order cone programming voltage-dependent models |
title_short |
Optimal Operation of Active Distribution Systems with Voltage Control and Closed-Loop Topology |
title_full |
Optimal Operation of Active Distribution Systems with Voltage Control and Closed-Loop Topology |
title_fullStr |
Optimal Operation of Active Distribution Systems with Voltage Control and Closed-Loop Topology |
title_full_unstemmed |
Optimal Operation of Active Distribution Systems with Voltage Control and Closed-Loop Topology |
title_sort |
Optimal Operation of Active Distribution Systems with Voltage Control and Closed-Loop Topology |
author |
Home-Ortiz, Juan M. [UNESP] |
author_facet |
Home-Ortiz, Juan M. [UNESP] MacEdo, Leonardo H. [UNESP] Mantovani, Jose R. S. [UNESP] Romero, Ruben [UNESP] Vargas, Renzo Catalao, Joao P. S. |
author_role |
author |
author2 |
MacEdo, Leonardo H. [UNESP] Mantovani, Jose R. S. [UNESP] Romero, Ruben [UNESP] Vargas, Renzo Catalao, Joao P. S. |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) Universidade Federal do ABC (UFABC) Feup and Inesc Tec |
dc.contributor.author.fl_str_mv |
Home-Ortiz, Juan M. [UNESP] MacEdo, Leonardo H. [UNESP] Mantovani, Jose R. S. [UNESP] Romero, Ruben [UNESP] Vargas, Renzo Catalao, Joao P. S. |
dc.subject.por.fl_str_mv |
Closed-loop topology distributed generation distribution systems reconfiguration mixed-integer second-order cone programming voltage-dependent models |
topic |
Closed-loop topology distributed generation distribution systems reconfiguration mixed-integer second-order cone programming voltage-dependent models |
description |
This paper presents a new stochastic mixed-integer second-order cone programming model to solve the problem of optimal operation of distribution systems considering network reconfiguration, voltage control devices, dispatchable and nondispatchable distributed generators (DGs), and the possibility of closed-loop topology operation. The decision variables are the active and reactive power generation of DGs, the tap position of substations' (SS) on-load tap changers and voltage regulators, the number of switchable capacitor banks in operation, and the operational statuses of sectionalizing and tie switches. The proposed formulation considers the minimization of (i) the cost of the energy purchased from the distribution SSs and dispatchable DGs, (ii) greenhouse gas emissions, (iii) technical energy losses, and (iv) the number of basic loops formed in the network. Tests are carried out using the 33-node system and the results demonstrate the effectiveness of the proposed formulation. The benefits provided by the presented approach include reduced operational costs and greenhouse gas emissions mitigation. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-06-28 2022-04-29T08:31:49Z 2022-04-29T08:31:49Z |
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/PowerTech46648.2021.9495076 2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings. http://hdl.handle.net/11449/229305 10.1109/PowerTech46648.2021.9495076 2-s2.0-85112372972 |
url |
http://dx.doi.org/10.1109/PowerTech46648.2021.9495076 http://hdl.handle.net/11449/229305 |
identifier_str_mv |
2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings. 10.1109/PowerTech46648.2021.9495076 2-s2.0-85112372972 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2021 IEEE Madrid PowerTech, PowerTech 2021 - Conference Proceedings |
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_ |
1808128476812673024 |