Optimal Service Restoration in Active Distribution Networks Considering Microgrid Formation and Voltage Control Devices
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://hdl.handle.net/11449/218712 |
Resumo: | This paper presents a new mixed-integer linear programming model for the optimal restoration of active distribution networks during permanent fault events considering not only network reconfiguration but also the islanded operation of distributed generation, thereby giving rise to the formation of microgrids. To that end, the proposed approach accounts for both the black-start capacity of generators and the connection of multiple generators to the same microgrid. Moreover, voltage control devices such as on-load tap changers, voltage regulators, and capacitor banks are also considered in the formulation. The model is driven by the maximization of the restored load after single or multiple faults in the network using the minimum number of switching operations and modifications in the statuses of the voltage control devices. The proposed model is implemented in the mathematical modeling language AMPL and solved with the Gurobi solver. Tests are conducted using a 53-node distribution system considering different fault locations. Numerical results show the relevant effect of microgrid formation and voltage control in the restoration process. Simulations also prove the effective performance of the proposed approach in terms of computation time. |
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Repositório Institucional da UNESP |
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Optimal Service Restoration in Active Distribution Networks Considering Microgrid Formation and Voltage Control DevicesActive distribution systemsdistributed generationmixed-integer linear programmingservice restorationvoltage controlThis paper presents a new mixed-integer linear programming model for the optimal restoration of active distribution networks during permanent fault events considering not only network reconfiguration but also the islanded operation of distributed generation, thereby giving rise to the formation of microgrids. To that end, the proposed approach accounts for both the black-start capacity of generators and the connection of multiple generators to the same microgrid. Moreover, voltage control devices such as on-load tap changers, voltage regulators, and capacitor banks are also considered in the formulation. The model is driven by the maximization of the restored load after single or multiple faults in the network using the minimum number of switching operations and modifications in the statuses of the voltage control devices. The proposed model is implemented in the mathematical modeling language AMPL and solved with the Gurobi solver. Tests are conducted using a 53-node distribution system considering different fault locations. Numerical results show the relevant effect of microgrid formation and voltage control in the restoration process. Simulations also prove the effective performance of the proposed approach in terms of computation time.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Ministry of Science, Innovation and Universities of SpainUniversidad de Castilla-La ManchaSao Paulo State Univ, Dept Elect Engn, Ilha Solteira, BrazilUniv Castilla La Mancha, Escuela Tecn Super Ingn Ind, Ciudad Real, SpainSao Paulo State Univ, Dept Elect Engn, Ilha Solteira, BrazilCAPES: 001CNPq: 305852/2017-5FAPESP: 2015/21972-6FAPESP: 2018/20355-1FAPESP: 2019/19632-3Ministry of Science, Innovation and Universities of Spain: RTI2018-096108-A-I00Ministry of Science, Innovation and Universities of Spain: RTI2018-098703-B-I00Universidad de Castilla-La Mancha: 2020-GRIN-29009IeeeUniversidade Estadual Paulista (UNESP)Univ Castilla La ManchaMacedo, Leonardo H. [UNESP]Munoz-Delgado, GregorioContreras, JavierRomero, Ruben [UNESP]IEEE2022-04-28T17:22:37Z2022-04-28T17:22:37Z2020-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject62020 International Conference On Smart Energy Systems And Technologies (sest). New York: Ieee, 6 p., 2020.http://hdl.handle.net/11449/218712WOS:000722591200063Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2020 International Conference On Smart Energy Systems And Technologies (sest)info:eu-repo/semantics/openAccess2024-07-04T19:11:39Zoai:repositorio.unesp.br:11449/218712Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T18:35:40.494441Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Optimal Service Restoration in Active Distribution Networks Considering Microgrid Formation and Voltage Control Devices |
title |
Optimal Service Restoration in Active Distribution Networks Considering Microgrid Formation and Voltage Control Devices |
spellingShingle |
Optimal Service Restoration in Active Distribution Networks Considering Microgrid Formation and Voltage Control Devices Macedo, Leonardo H. [UNESP] Active distribution systems distributed generation mixed-integer linear programming service restoration voltage control |
title_short |
Optimal Service Restoration in Active Distribution Networks Considering Microgrid Formation and Voltage Control Devices |
title_full |
Optimal Service Restoration in Active Distribution Networks Considering Microgrid Formation and Voltage Control Devices |
title_fullStr |
Optimal Service Restoration in Active Distribution Networks Considering Microgrid Formation and Voltage Control Devices |
title_full_unstemmed |
Optimal Service Restoration in Active Distribution Networks Considering Microgrid Formation and Voltage Control Devices |
title_sort |
Optimal Service Restoration in Active Distribution Networks Considering Microgrid Formation and Voltage Control Devices |
author |
Macedo, Leonardo H. [UNESP] |
author_facet |
Macedo, Leonardo H. [UNESP] Munoz-Delgado, Gregorio Contreras, Javier Romero, Ruben [UNESP] IEEE |
author_role |
author |
author2 |
Munoz-Delgado, Gregorio Contreras, Javier Romero, Ruben [UNESP] IEEE |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) Univ Castilla La Mancha |
dc.contributor.author.fl_str_mv |
Macedo, Leonardo H. [UNESP] Munoz-Delgado, Gregorio Contreras, Javier Romero, Ruben [UNESP] IEEE |
dc.subject.por.fl_str_mv |
Active distribution systems distributed generation mixed-integer linear programming service restoration voltage control |
topic |
Active distribution systems distributed generation mixed-integer linear programming service restoration voltage control |
description |
This paper presents a new mixed-integer linear programming model for the optimal restoration of active distribution networks during permanent fault events considering not only network reconfiguration but also the islanded operation of distributed generation, thereby giving rise to the formation of microgrids. To that end, the proposed approach accounts for both the black-start capacity of generators and the connection of multiple generators to the same microgrid. Moreover, voltage control devices such as on-load tap changers, voltage regulators, and capacitor banks are also considered in the formulation. The model is driven by the maximization of the restored load after single or multiple faults in the network using the minimum number of switching operations and modifications in the statuses of the voltage control devices. The proposed model is implemented in the mathematical modeling language AMPL and solved with the Gurobi solver. Tests are conducted using a 53-node distribution system considering different fault locations. Numerical results show the relevant effect of microgrid formation and voltage control in the restoration process. Simulations also prove the effective performance of the proposed approach in terms of computation time. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-01-01 2022-04-28T17:22:37Z 2022-04-28T17:22:37Z |
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 |
2020 International Conference On Smart Energy Systems And Technologies (sest). New York: Ieee, 6 p., 2020. http://hdl.handle.net/11449/218712 WOS:000722591200063 |
identifier_str_mv |
2020 International Conference On Smart Energy Systems And Technologies (sest). New York: Ieee, 6 p., 2020. WOS:000722591200063 |
url |
http://hdl.handle.net/11449/218712 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2020 International Conference On Smart Energy Systems And Technologies (sest) |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
6 |
dc.publisher.none.fl_str_mv |
Ieee |
publisher.none.fl_str_mv |
Ieee |
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_ |
1808128953297141760 |