A Robust Mixed-Integer Programing Model for Reconfiguration of Distribution Feeders Under Uncertain and Variable Loads Considering Capacitor Banks, Voltage Regulators, and Protective Relays
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1109/TII.2022.3141412 http://hdl.handle.net/11449/223267 |
Resumo: | Feeder reconfiguration is an effective way to reduce power losses of distribution network. In this way, configuration of distribution system is changed in order to achieve possible minimum losses, while electricity demand of consumers has to be provided. Consumers' power demand has an important role in feeder reconfiguration because any change in demand affects power losses directly. Whereas load demand has a variable and stochastic nature because of its dependency on consumption pattern and accuracy of forecasted load amounts. Accordingly, reconfiguration models should be enough robust against load uncertainty and variations. Thus, this paper presents an efficient robust model for reconfiguration of distribution feeders under uncertain and variable loads. The proposed reconfiguration model is enough robust and efficient, in which its implementation is relatively simple. The results show higher efficiency and lower complexity of the proposed model compared to existing robust reconfiguration approaches. |
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Repositório Institucional da UNESP |
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A Robust Mixed-Integer Programing Model for Reconfiguration of Distribution Feeders Under Uncertain and Variable Loads Considering Capacitor Banks, Voltage Regulators, and Protective RelaysDemand variationsdistribution systemsfeeder reconfigurationload uncertaintyrobust modelFeeder reconfiguration is an effective way to reduce power losses of distribution network. In this way, configuration of distribution system is changed in order to achieve possible minimum losses, while electricity demand of consumers has to be provided. Consumers' power demand has an important role in feeder reconfiguration because any change in demand affects power losses directly. Whereas load demand has a variable and stochastic nature because of its dependency on consumption pattern and accuracy of forecasted load amounts. Accordingly, reconfiguration models should be enough robust against load uncertainty and variations. Thus, this paper presents an efficient robust model for reconfiguration of distribution feeders under uncertain and variable loads. The proposed reconfiguration model is enough robust and efficient, in which its implementation is relatively simple. The results show higher efficiency and lower complexity of the proposed model compared to existing robust reconfiguration approaches.Department of Electrical Engineering, So Paulo State University, Botucatu, Brazil, 18618-970 (e-mail: m.mahdavi@unesp.br)University College Dublin, 8797 Dublin, Ireland, 4 (e-mail: hassan.haesalhelou@ucd.ie)University of Salerno, 19028 Fisciano, Campania, Italy, 84084 (e-mail: psiano@unisa.it)Mathematics & Informatics, University of Salerno, Fisciano, Salerno, Italy, 84084 (e-mail: loia@unisa.it)Universidade Estadual Paulista (UNESP)Mahdavi, MeisamHaes Alhelou, H.Siano, PierluigiLoia, Vincenzo2022-04-28T19:49:37Z2022-04-28T19:49:37Z2022-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1109/TII.2022.3141412IEEE Transactions on Industrial Informatics.1941-00501551-3203http://hdl.handle.net/11449/22326710.1109/TII.2022.31414122-s2.0-85122888708Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIEEE Transactions on Industrial Informaticsinfo:eu-repo/semantics/openAccess2022-04-28T19:49:38Zoai:repositorio.unesp.br:11449/223267Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-06T00:10:09.245513Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
A Robust Mixed-Integer Programing Model for Reconfiguration of Distribution Feeders Under Uncertain and Variable Loads Considering Capacitor Banks, Voltage Regulators, and Protective Relays |
title |
A Robust Mixed-Integer Programing Model for Reconfiguration of Distribution Feeders Under Uncertain and Variable Loads Considering Capacitor Banks, Voltage Regulators, and Protective Relays |
spellingShingle |
A Robust Mixed-Integer Programing Model for Reconfiguration of Distribution Feeders Under Uncertain and Variable Loads Considering Capacitor Banks, Voltage Regulators, and Protective Relays Mahdavi, Meisam Demand variations distribution systems feeder reconfiguration load uncertainty robust model |
title_short |
A Robust Mixed-Integer Programing Model for Reconfiguration of Distribution Feeders Under Uncertain and Variable Loads Considering Capacitor Banks, Voltage Regulators, and Protective Relays |
title_full |
A Robust Mixed-Integer Programing Model for Reconfiguration of Distribution Feeders Under Uncertain and Variable Loads Considering Capacitor Banks, Voltage Regulators, and Protective Relays |
title_fullStr |
A Robust Mixed-Integer Programing Model for Reconfiguration of Distribution Feeders Under Uncertain and Variable Loads Considering Capacitor Banks, Voltage Regulators, and Protective Relays |
title_full_unstemmed |
A Robust Mixed-Integer Programing Model for Reconfiguration of Distribution Feeders Under Uncertain and Variable Loads Considering Capacitor Banks, Voltage Regulators, and Protective Relays |
title_sort |
A Robust Mixed-Integer Programing Model for Reconfiguration of Distribution Feeders Under Uncertain and Variable Loads Considering Capacitor Banks, Voltage Regulators, and Protective Relays |
author |
Mahdavi, Meisam |
author_facet |
Mahdavi, Meisam Haes Alhelou, H. Siano, Pierluigi Loia, Vincenzo |
author_role |
author |
author2 |
Haes Alhelou, H. Siano, Pierluigi Loia, Vincenzo |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Mahdavi, Meisam Haes Alhelou, H. Siano, Pierluigi Loia, Vincenzo |
dc.subject.por.fl_str_mv |
Demand variations distribution systems feeder reconfiguration load uncertainty robust model |
topic |
Demand variations distribution systems feeder reconfiguration load uncertainty robust model |
description |
Feeder reconfiguration is an effective way to reduce power losses of distribution network. In this way, configuration of distribution system is changed in order to achieve possible minimum losses, while electricity demand of consumers has to be provided. Consumers' power demand has an important role in feeder reconfiguration because any change in demand affects power losses directly. Whereas load demand has a variable and stochastic nature because of its dependency on consumption pattern and accuracy of forecasted load amounts. Accordingly, reconfiguration models should be enough robust against load uncertainty and variations. Thus, this paper presents an efficient robust model for reconfiguration of distribution feeders under uncertain and variable loads. The proposed reconfiguration model is enough robust and efficient, in which its implementation is relatively simple. The results show higher efficiency and lower complexity of the proposed model compared to existing robust reconfiguration approaches. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-04-28T19:49:37Z 2022-04-28T19:49:37Z 2022-01-01 |
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/TII.2022.3141412 IEEE Transactions on Industrial Informatics. 1941-0050 1551-3203 http://hdl.handle.net/11449/223267 10.1109/TII.2022.3141412 2-s2.0-85122888708 |
url |
http://dx.doi.org/10.1109/TII.2022.3141412 http://hdl.handle.net/11449/223267 |
identifier_str_mv |
IEEE Transactions on Industrial Informatics. 1941-0050 1551-3203 10.1109/TII.2022.3141412 2-s2.0-85122888708 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
IEEE Transactions on Industrial Informatics |
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_ |
1808129591226662912 |