Impact of Distributed Energy Resources on Fault Location, Isolation, and Service Restoration
Autor(a) principal: | |
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Data de Publicação: | 2022 |
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/PMAPS53380.2022.9810565 http://hdl.handle.net/11449/242088 |
Resumo: | Currently, fault location, isolation and service restoration (FLISR) is a Smart Grid functionality used to improve the performance of electric utilities. This article investigates the impact of Distributed Power Resources (DER) on FLISR in terms of protection system failures and reliability indicators such as Average Interruption Frequency Index (SAIFI) and Average System Interruption Duration Index (SAIDI) and Unsupplied Energy (ENS). A probabilistic methodology based on the Monte Carlo method is performed to estimate these indicators with different penetration rates of DER (PR). The study is performed on 135 busbar distribution system. The results show that up to 156% PR, the protection system is not compromised. The insertion of REDs can bring an improvement in reliability indicators during higher solar radiation, however, they do not present relevant improvements in reliability indicators when FLISR is applied. This study can help electric utilities to plan investments in FLISR with different DPR. |
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Repositório Institucional da UNESP |
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Impact of Distributed Energy Resources on Fault Location, Isolation, and Service Restorationdistributed generationdistribution systemFLISRself-healingsmart gridsCurrently, fault location, isolation and service restoration (FLISR) is a Smart Grid functionality used to improve the performance of electric utilities. This article investigates the impact of Distributed Power Resources (DER) on FLISR in terms of protection system failures and reliability indicators such as Average Interruption Frequency Index (SAIFI) and Average System Interruption Duration Index (SAIDI) and Unsupplied Energy (ENS). A probabilistic methodology based on the Monte Carlo method is performed to estimate these indicators with different penetration rates of DER (PR). The study is performed on 135 busbar distribution system. The results show that up to 156% PR, the protection system is not compromised. The insertion of REDs can bring an improvement in reliability indicators during higher solar radiation, however, they do not present relevant improvements in reliability indicators when FLISR is applied. This study can help electric utilities to plan investments in FLISR with different DPR.São Paulo State University (UNESP) Institute of Science and TechnologySão Paulo State University (UNESP) Institute of Science and TechnologyUniversidade Estadual Paulista (UNESP)Carneiro, Carlos Alberto [UNESP]Silva, Gabriela Batista [UNESP]Junior, Jairo Giacomini [UNESP]Cebrian, Juan Carlos [UNESP]Morales-Paredes, Helmo Kelis [UNESP]2023-03-02T08:37:57Z2023-03-02T08:37:57Z2022-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/PMAPS53380.2022.98105652022 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022.http://hdl.handle.net/11449/24208810.1109/PMAPS53380.2022.98105652-s2.0-85135050497Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2022 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022info:eu-repo/semantics/openAccess2023-03-02T08:37:57Zoai:repositorio.unesp.br:11449/242088Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:41:35.586941Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Impact of Distributed Energy Resources on Fault Location, Isolation, and Service Restoration |
title |
Impact of Distributed Energy Resources on Fault Location, Isolation, and Service Restoration |
spellingShingle |
Impact of Distributed Energy Resources on Fault Location, Isolation, and Service Restoration Carneiro, Carlos Alberto [UNESP] distributed generation distribution system FLISR self-healing smart grids |
title_short |
Impact of Distributed Energy Resources on Fault Location, Isolation, and Service Restoration |
title_full |
Impact of Distributed Energy Resources on Fault Location, Isolation, and Service Restoration |
title_fullStr |
Impact of Distributed Energy Resources on Fault Location, Isolation, and Service Restoration |
title_full_unstemmed |
Impact of Distributed Energy Resources on Fault Location, Isolation, and Service Restoration |
title_sort |
Impact of Distributed Energy Resources on Fault Location, Isolation, and Service Restoration |
author |
Carneiro, Carlos Alberto [UNESP] |
author_facet |
Carneiro, Carlos Alberto [UNESP] Silva, Gabriela Batista [UNESP] Junior, Jairo Giacomini [UNESP] Cebrian, Juan Carlos [UNESP] Morales-Paredes, Helmo Kelis [UNESP] |
author_role |
author |
author2 |
Silva, Gabriela Batista [UNESP] Junior, Jairo Giacomini [UNESP] Cebrian, Juan Carlos [UNESP] Morales-Paredes, Helmo Kelis [UNESP] |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Carneiro, Carlos Alberto [UNESP] Silva, Gabriela Batista [UNESP] Junior, Jairo Giacomini [UNESP] Cebrian, Juan Carlos [UNESP] Morales-Paredes, Helmo Kelis [UNESP] |
dc.subject.por.fl_str_mv |
distributed generation distribution system FLISR self-healing smart grids |
topic |
distributed generation distribution system FLISR self-healing smart grids |
description |
Currently, fault location, isolation and service restoration (FLISR) is a Smart Grid functionality used to improve the performance of electric utilities. This article investigates the impact of Distributed Power Resources (DER) on FLISR in terms of protection system failures and reliability indicators such as Average Interruption Frequency Index (SAIFI) and Average System Interruption Duration Index (SAIDI) and Unsupplied Energy (ENS). A probabilistic methodology based on the Monte Carlo method is performed to estimate these indicators with different penetration rates of DER (PR). The study is performed on 135 busbar distribution system. The results show that up to 156% PR, the protection system is not compromised. The insertion of REDs can bring an improvement in reliability indicators during higher solar radiation, however, they do not present relevant improvements in reliability indicators when FLISR is applied. This study can help electric utilities to plan investments in FLISR with different DPR. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-01-01 2023-03-02T08:37:57Z 2023-03-02T08:37:57Z |
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/PMAPS53380.2022.9810565 2022 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022. http://hdl.handle.net/11449/242088 10.1109/PMAPS53380.2022.9810565 2-s2.0-85135050497 |
url |
http://dx.doi.org/10.1109/PMAPS53380.2022.9810565 http://hdl.handle.net/11449/242088 |
identifier_str_mv |
2022 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022. 10.1109/PMAPS53380.2022.9810565 2-s2.0-85135050497 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2022 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022 |
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_ |
1808129347676012544 |