Multi-temporal Optimal Power Flow for voltage control in MV networks using Distributed Energy Resources
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://repositorio.inesctec.pt/handle/123456789/5034 http://dx.doi.org/10.10161/j.epsr.2017.01.016 |
Resumo: | Large-scale integration of variable Renewable Energy Sources (RES) brings significant challenges to grid operation that require new approaches and tools for distribution system management, particularly concerning voltage control. Therefore, an innovative approach for voltage control at the MV level is presented. It is based on a preventive day-ahead analysis that uses data from load/RES forecasting tools to establish a plan for operation of the different Distributed Energy Resources (DER) for the next day. The approach is formulated as a multi-temporal Optimal Power Flow (OPF) solved by a meta-heuristic, used to tackle complex multi-dimensional problems. The tuning of the meta-heuristic parameters was performed to ensure the robustness of the proposed approach and enhance the performance of the algorithm. It was tested through simulation in a large scale test network with good results. |
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Multi-temporal Optimal Power Flow for voltage control in MV networks using Distributed Energy ResourcesLarge-scale integration of variable Renewable Energy Sources (RES) brings significant challenges to grid operation that require new approaches and tools for distribution system management, particularly concerning voltage control. Therefore, an innovative approach for voltage control at the MV level is presented. It is based on a preventive day-ahead analysis that uses data from load/RES forecasting tools to establish a plan for operation of the different Distributed Energy Resources (DER) for the next day. The approach is formulated as a multi-temporal Optimal Power Flow (OPF) solved by a meta-heuristic, used to tackle complex multi-dimensional problems. The tuning of the meta-heuristic parameters was performed to ensure the robustness of the proposed approach and enhance the performance of the algorithm. It was tested through simulation in a large scale test network with good results.2017-12-28T11:08:59Z2017-01-01T00:00:00Z2017info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://repositorio.inesctec.pt/handle/123456789/5034http://dx.doi.org/10.10161/j.epsr.2017.01.016engJosé Luís MeirinhosDavid Emanuel RuaLeonel Magalhães CarvalhoAndré Guimarães Madureirainfo:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-05-15T10:19:46Zoai:repositorio.inesctec.pt:123456789/5034Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:52:12.364767Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Multi-temporal Optimal Power Flow for voltage control in MV networks using Distributed Energy Resources |
title |
Multi-temporal Optimal Power Flow for voltage control in MV networks using Distributed Energy Resources |
spellingShingle |
Multi-temporal Optimal Power Flow for voltage control in MV networks using Distributed Energy Resources José Luís Meirinhos |
title_short |
Multi-temporal Optimal Power Flow for voltage control in MV networks using Distributed Energy Resources |
title_full |
Multi-temporal Optimal Power Flow for voltage control in MV networks using Distributed Energy Resources |
title_fullStr |
Multi-temporal Optimal Power Flow for voltage control in MV networks using Distributed Energy Resources |
title_full_unstemmed |
Multi-temporal Optimal Power Flow for voltage control in MV networks using Distributed Energy Resources |
title_sort |
Multi-temporal Optimal Power Flow for voltage control in MV networks using Distributed Energy Resources |
author |
José Luís Meirinhos |
author_facet |
José Luís Meirinhos David Emanuel Rua Leonel Magalhães Carvalho André Guimarães Madureira |
author_role |
author |
author2 |
David Emanuel Rua Leonel Magalhães Carvalho André Guimarães Madureira |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
José Luís Meirinhos David Emanuel Rua Leonel Magalhães Carvalho André Guimarães Madureira |
description |
Large-scale integration of variable Renewable Energy Sources (RES) brings significant challenges to grid operation that require new approaches and tools for distribution system management, particularly concerning voltage control. Therefore, an innovative approach for voltage control at the MV level is presented. It is based on a preventive day-ahead analysis that uses data from load/RES forecasting tools to establish a plan for operation of the different Distributed Energy Resources (DER) for the next day. The approach is formulated as a multi-temporal Optimal Power Flow (OPF) solved by a meta-heuristic, used to tackle complex multi-dimensional problems. The tuning of the meta-heuristic parameters was performed to ensure the robustness of the proposed approach and enhance the performance of the algorithm. It was tested through simulation in a large scale test network with good results. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-12-28T11:08:59Z 2017-01-01T00:00:00Z 2017 |
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://repositorio.inesctec.pt/handle/123456789/5034 http://dx.doi.org/10.10161/j.epsr.2017.01.016 |
url |
http://repositorio.inesctec.pt/handle/123456789/5034 http://dx.doi.org/10.10161/j.epsr.2017.01.016 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/embargoedAccess |
eu_rights_str_mv |
embargoedAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799131598626488320 |