Security evaluation of interconnected systems with large wind power production using artificial intelligence systems

Detalhes bibliográficos
Autor(a) principal: João Abel Peças Lopes
Data de Publicação: 2006
Outros Autores: Maria Helena Osório Pestana de Vasconcelos
Tipo de documento: Livro
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://repositorio-aberto.up.pt/handle/10216/19476
Resumo: This paper presents a new methodology to evaluate, within the framework of on-line security assessment, the dynamic behavior of interconnected power systems having an increased penetration of wind power production. This approach exploits functional knowledge generated off-line, the Regression Tree (RT) automatic learning method to perform Feature Subset Selection (FSS) and Artificial Neural Networks (ANN) to provide a way for fast evaluation of the security degree.
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spelling Security evaluation of interconnected systems with large wind power production using artificial intelligence systemsEnergias renováveis, Inteligência artificial, Engenharia electrotécnica, electrónica e informáticaRenewable energies, Artificial intelligence, Electrical engineering, Electronic engineering, Information engineeringThis paper presents a new methodology to evaluate, within the framework of on-line security assessment, the dynamic behavior of interconnected power systems having an increased penetration of wind power production. This approach exploits functional knowledge generated off-line, the Regression Tree (RT) automatic learning method to perform Feature Subset Selection (FSS) and Artificial Neural Networks (ANN) to provide a way for fast evaluation of the security degree.20062006-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookapplication/pdfhttps://repositorio-aberto.up.pt/handle/10216/19476engJoão Abel Peças LopesMaria Helena Osório Pestana de Vasconcelosinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T13:48:38Zoai:repositorio-aberto.up.pt:10216/19476Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:48:12.768552Repositório 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 Security evaluation of interconnected systems with large wind power production using artificial intelligence systems
title Security evaluation of interconnected systems with large wind power production using artificial intelligence systems
spellingShingle Security evaluation of interconnected systems with large wind power production using artificial intelligence systems
João Abel Peças Lopes
Energias renováveis, Inteligência artificial, Engenharia electrotécnica, electrónica e informática
Renewable energies, Artificial intelligence, Electrical engineering, Electronic engineering, Information engineering
title_short Security evaluation of interconnected systems with large wind power production using artificial intelligence systems
title_full Security evaluation of interconnected systems with large wind power production using artificial intelligence systems
title_fullStr Security evaluation of interconnected systems with large wind power production using artificial intelligence systems
title_full_unstemmed Security evaluation of interconnected systems with large wind power production using artificial intelligence systems
title_sort Security evaluation of interconnected systems with large wind power production using artificial intelligence systems
author João Abel Peças Lopes
author_facet João Abel Peças Lopes
Maria Helena Osório Pestana de Vasconcelos
author_role author
author2 Maria Helena Osório Pestana de Vasconcelos
author2_role author
dc.contributor.author.fl_str_mv João Abel Peças Lopes
Maria Helena Osório Pestana de Vasconcelos
dc.subject.por.fl_str_mv Energias renováveis, Inteligência artificial, Engenharia electrotécnica, electrónica e informática
Renewable energies, Artificial intelligence, Electrical engineering, Electronic engineering, Information engineering
topic Energias renováveis, Inteligência artificial, Engenharia electrotécnica, electrónica e informática
Renewable energies, Artificial intelligence, Electrical engineering, Electronic engineering, Information engineering
description This paper presents a new methodology to evaluate, within the framework of on-line security assessment, the dynamic behavior of interconnected power systems having an increased penetration of wind power production. This approach exploits functional knowledge generated off-line, the Regression Tree (RT) automatic learning method to perform Feature Subset Selection (FSS) and Artificial Neural Networks (ANN) to provide a way for fast evaluation of the security degree.
publishDate 2006
dc.date.none.fl_str_mv 2006
2006-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/book
format book
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://repositorio-aberto.up.pt/handle/10216/19476
url https://repositorio-aberto.up.pt/handle/10216/19476
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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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