Optimal Allocation of Protection and Control Devices in Distribution Networks with Microgrids

Detalhes bibliográficos
Autor(a) principal: Reiz, Cleberton [UNESP]
Data de Publicação: 2022
Outros Autores: Lima, Tayenne Dias De [UNESP], Leite, Jonatas Boas [UNESP], Javadi, Mohammad Sadegh, Gouveia, Clara Sofia
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/MELECON53508.2022.9843003
http://hdl.handle.net/11449/240695
Resumo: Protection and control systems represent an essential part of distribution networks, ensuring the physical integrity of components and improving system reliability. Protection devices isolate a portion of the network affected by a fault, while control devices reduce the number of de-energized loads by transferring loads to neighboring feeders. The integration of distributed generation has the potential to improve the continuity of energy services through islanding operation during outage conditions. In this context, this paper presents a multi-objective optimization approach for the size and allocation of protection and control devices in distribution networks with microgrids supplied by renewable energy sources. Reclosers, fuses, remote-controlled switches, and directional relays are considered in the formulation. The demand and generation uncertainties define the islanding operation and the load transfer possibilities. A genetic algorithm is presented to solve the allocation problem. The compromise programming is performed to choose the best solution from the Pareto front. Results show interesting setups for the protection system and viability of islanding operation.
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spelling Optimal Allocation of Protection and Control Devices in Distribution Networks with Microgridscompromise programmingDistribution systemsgenetic algorithmmicrogridsProtection system planningProtection and control systems represent an essential part of distribution networks, ensuring the physical integrity of components and improving system reliability. Protection devices isolate a portion of the network affected by a fault, while control devices reduce the number of de-energized loads by transferring loads to neighboring feeders. The integration of distributed generation has the potential to improve the continuity of energy services through islanding operation during outage conditions. In this context, this paper presents a multi-objective optimization approach for the size and allocation of protection and control devices in distribution networks with microgrids supplied by renewable energy sources. Reclosers, fuses, remote-controlled switches, and directional relays are considered in the formulation. The demand and generation uncertainties define the islanding operation and the load transfer possibilities. A genetic algorithm is presented to solve the allocation problem. The compromise programming is performed to choose the best solution from the Pareto front. Results show interesting setups for the protection system and viability of islanding operation.Sao Paulo State Univerisity Department of Electrical EngineeringInstitute for Systems and Computer Engineering Technology and Science Faculty of Engineering of U.PortoSao Paulo State Univerisity Department of Electrical EngineeringUniversidade Estadual Paulista (UNESP)Faculty of Engineering of U.PortoReiz, Cleberton [UNESP]Lima, Tayenne Dias De [UNESP]Leite, Jonatas Boas [UNESP]Javadi, Mohammad SadeghGouveia, Clara Sofia2023-03-01T20:28:49Z2023-03-01T20:28:49Z2022-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject372-377http://dx.doi.org/10.1109/MELECON53508.2022.9843003MELECON 2022 - IEEE Mediterranean Electrotechnical Conference, Proceedings, p. 372-377.http://hdl.handle.net/11449/24069510.1109/MELECON53508.2022.98430032-s2.0-85136412576Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengMELECON 2022 - IEEE Mediterranean Electrotechnical Conference, Proceedingsinfo:eu-repo/semantics/openAccess2023-03-01T20:28:50Zoai:repositorio.unesp.br:11449/240695Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestrepositoriounesp@unesp.bropendoar:29462023-03-01T20:28:50Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Optimal Allocation of Protection and Control Devices in Distribution Networks with Microgrids
title Optimal Allocation of Protection and Control Devices in Distribution Networks with Microgrids
spellingShingle Optimal Allocation of Protection and Control Devices in Distribution Networks with Microgrids
Reiz, Cleberton [UNESP]
compromise programming
Distribution systems
genetic algorithm
microgrids
Protection system planning
title_short Optimal Allocation of Protection and Control Devices in Distribution Networks with Microgrids
title_full Optimal Allocation of Protection and Control Devices in Distribution Networks with Microgrids
title_fullStr Optimal Allocation of Protection and Control Devices in Distribution Networks with Microgrids
title_full_unstemmed Optimal Allocation of Protection and Control Devices in Distribution Networks with Microgrids
title_sort Optimal Allocation of Protection and Control Devices in Distribution Networks with Microgrids
author Reiz, Cleberton [UNESP]
author_facet Reiz, Cleberton [UNESP]
Lima, Tayenne Dias De [UNESP]
Leite, Jonatas Boas [UNESP]
Javadi, Mohammad Sadegh
Gouveia, Clara Sofia
author_role author
author2 Lima, Tayenne Dias De [UNESP]
Leite, Jonatas Boas [UNESP]
Javadi, Mohammad Sadegh
Gouveia, Clara Sofia
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
Faculty of Engineering of U.Porto
dc.contributor.author.fl_str_mv Reiz, Cleberton [UNESP]
Lima, Tayenne Dias De [UNESP]
Leite, Jonatas Boas [UNESP]
Javadi, Mohammad Sadegh
Gouveia, Clara Sofia
dc.subject.por.fl_str_mv compromise programming
Distribution systems
genetic algorithm
microgrids
Protection system planning
topic compromise programming
Distribution systems
genetic algorithm
microgrids
Protection system planning
description Protection and control systems represent an essential part of distribution networks, ensuring the physical integrity of components and improving system reliability. Protection devices isolate a portion of the network affected by a fault, while control devices reduce the number of de-energized loads by transferring loads to neighboring feeders. The integration of distributed generation has the potential to improve the continuity of energy services through islanding operation during outage conditions. In this context, this paper presents a multi-objective optimization approach for the size and allocation of protection and control devices in distribution networks with microgrids supplied by renewable energy sources. Reclosers, fuses, remote-controlled switches, and directional relays are considered in the formulation. The demand and generation uncertainties define the islanding operation and the load transfer possibilities. A genetic algorithm is presented to solve the allocation problem. The compromise programming is performed to choose the best solution from the Pareto front. Results show interesting setups for the protection system and viability of islanding operation.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
2023-03-01T20:28:49Z
2023-03-01T20:28:49Z
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/MELECON53508.2022.9843003
MELECON 2022 - IEEE Mediterranean Electrotechnical Conference, Proceedings, p. 372-377.
http://hdl.handle.net/11449/240695
10.1109/MELECON53508.2022.9843003
2-s2.0-85136412576
url http://dx.doi.org/10.1109/MELECON53508.2022.9843003
http://hdl.handle.net/11449/240695
identifier_str_mv MELECON 2022 - IEEE Mediterranean Electrotechnical Conference, Proceedings, p. 372-377.
10.1109/MELECON53508.2022.9843003
2-s2.0-85136412576
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv MELECON 2022 - IEEE Mediterranean Electrotechnical Conference, Proceedings
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 372-377
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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