Multiyear and multi-criteria AC Transmission Expansion Planning model considering reliability and investment costs

Detalhes bibliográficos
Autor(a) principal: João Tomé Saraiva
Data de Publicação: 2016
Outros Autores: Phillipe Vilaça Gomes, João Pedro Silva
Tipo de documento: Livro
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/10216/84387
Resumo: One of the major concerns in Power Systems is surely related with their reliability. Long-term expansion planning studies traditionally use the well-known deterministic "N-1" contingency criterion. However, this criterion is applied based on worst-case analyses and the obtained plan may originate over-investments. Differently, probabilistic reliability approaches can incorporate different type of uncertainties that affect power systems. In this work, a long term multi-criteria AC Transmission Expansion Planning model was developed considering two objectives - the probabilistic reliability index Expected Energy Not Supplied (EENS) and the investment cost. The Pareto-Front associated with these two objectives was obtained using Genetic Algorithms and the final solution was selected using a fuzzy decision making function. This approach was applied to the IEEE 24 Bus Test System and the results ensure its robustness and efficiency.
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spelling Multiyear and multi-criteria AC Transmission Expansion Planning model considering reliability and investment costsEngenharia electrotécnica, Engenharia electrotécnica, electrónica e informáticaElectrical engineering, Electrical engineering, Electronic engineering, Information engineeringOne of the major concerns in Power Systems is surely related with their reliability. Long-term expansion planning studies traditionally use the well-known deterministic "N-1" contingency criterion. However, this criterion is applied based on worst-case analyses and the obtained plan may originate over-investments. Differently, probabilistic reliability approaches can incorporate different type of uncertainties that affect power systems. In this work, a long term multi-criteria AC Transmission Expansion Planning model was developed considering two objectives - the probabilistic reliability index Expected Energy Not Supplied (EENS) and the investment cost. The Pareto-Front associated with these two objectives was obtained using Genetic Algorithms and the final solution was selected using a fuzzy decision making function. This approach was applied to the IEEE 24 Bus Test System and the results ensure its robustness and efficiency.2016-06-062016-06-06T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookapplication/pdfhttps://hdl.handle.net/10216/84387eng10.1109/EEM.2016.7521182João Tomé SaraivaPhillipe Vilaça GomesJoão Pedro Silvainfo: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:RCAAP2023-11-29T14:00:33Zoai:repositorio-aberto.up.pt:10216/84387Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:52:18.943729Repositório 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 Multiyear and multi-criteria AC Transmission Expansion Planning model considering reliability and investment costs
title Multiyear and multi-criteria AC Transmission Expansion Planning model considering reliability and investment costs
spellingShingle Multiyear and multi-criteria AC Transmission Expansion Planning model considering reliability and investment costs
João Tomé Saraiva
Engenharia electrotécnica, Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electrical engineering, Electronic engineering, Information engineering
title_short Multiyear and multi-criteria AC Transmission Expansion Planning model considering reliability and investment costs
title_full Multiyear and multi-criteria AC Transmission Expansion Planning model considering reliability and investment costs
title_fullStr Multiyear and multi-criteria AC Transmission Expansion Planning model considering reliability and investment costs
title_full_unstemmed Multiyear and multi-criteria AC Transmission Expansion Planning model considering reliability and investment costs
title_sort Multiyear and multi-criteria AC Transmission Expansion Planning model considering reliability and investment costs
author João Tomé Saraiva
author_facet João Tomé Saraiva
Phillipe Vilaça Gomes
João Pedro Silva
author_role author
author2 Phillipe Vilaça Gomes
João Pedro Silva
author2_role author
author
dc.contributor.author.fl_str_mv João Tomé Saraiva
Phillipe Vilaça Gomes
João Pedro Silva
dc.subject.por.fl_str_mv Engenharia electrotécnica, Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electrical engineering, Electronic engineering, Information engineering
topic Engenharia electrotécnica, Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electrical engineering, Electronic engineering, Information engineering
description One of the major concerns in Power Systems is surely related with their reliability. Long-term expansion planning studies traditionally use the well-known deterministic "N-1" contingency criterion. However, this criterion is applied based on worst-case analyses and the obtained plan may originate over-investments. Differently, probabilistic reliability approaches can incorporate different type of uncertainties that affect power systems. In this work, a long term multi-criteria AC Transmission Expansion Planning model was developed considering two objectives - the probabilistic reliability index Expected Energy Not Supplied (EENS) and the investment cost. The Pareto-Front associated with these two objectives was obtained using Genetic Algorithms and the final solution was selected using a fuzzy decision making function. This approach was applied to the IEEE 24 Bus Test System and the results ensure its robustness and efficiency.
publishDate 2016
dc.date.none.fl_str_mv 2016-06-06
2016-06-06T00:00:00Z
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://hdl.handle.net/10216/84387
url https://hdl.handle.net/10216/84387
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1109/EEM.2016.7521182
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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)
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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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
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