Problem of hydroelectric resources management: Numerical approach

Detalhes bibliográficos
Autor(a) principal: Bushenkov, VA
Data de Publicação: 2016
Outros Autores: Ferreira, M. M. A., Ribeiro, AF, Smirnov, GV
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/10216/110152
Resumo: In this work we analyze an optimal control problem for a system of two hydroelectric power stations in cascade withreversible turbines. The objective is to optimize the proft of power production while respecting the system's restrictions. Some of theserestrictions translate into state constraints and the cost function is nonconvex. This increases the complexity of the optimal controlproblem. The problem is solved numerically and two different approaches are adopted. These approaches focus on global optimizationtechniques (Chen-Burer algorithm) and on a projection estimation refnement method (PERmethod). PERmethod is used as a techniqueto reduce the dimension of the problem. Results and execution time of the two procedures are compared. (c) 2016 NSP Natural Sciences Publishing Cor.
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spelling Problem of hydroelectric resources management: Numerical approachIn this work we analyze an optimal control problem for a system of two hydroelectric power stations in cascade withreversible turbines. The objective is to optimize the proft of power production while respecting the system's restrictions. Some of theserestrictions translate into state constraints and the cost function is nonconvex. This increases the complexity of the optimal controlproblem. The problem is solved numerically and two different approaches are adopted. These approaches focus on global optimizationtechniques (Chen-Burer algorithm) and on a projection estimation refnement method (PERmethod). PERmethod is used as a techniqueto reduce the dimension of the problem. Results and execution time of the two procedures are compared. (c) 2016 NSP Natural Sciences Publishing Cor.20162016-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10216/110152eng1935-009010.18576/amis/100302Bushenkov, VAFerreira, M. M. A.Ribeiro, AFSmirnov, GVinfo: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:RCAAP2023-11-29T12:29:25Zoai:repositorio-aberto.up.pt:10216/110152Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:21:17.321072Repositório 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 Problem of hydroelectric resources management: Numerical approach
title Problem of hydroelectric resources management: Numerical approach
spellingShingle Problem of hydroelectric resources management: Numerical approach
Bushenkov, VA
title_short Problem of hydroelectric resources management: Numerical approach
title_full Problem of hydroelectric resources management: Numerical approach
title_fullStr Problem of hydroelectric resources management: Numerical approach
title_full_unstemmed Problem of hydroelectric resources management: Numerical approach
title_sort Problem of hydroelectric resources management: Numerical approach
author Bushenkov, VA
author_facet Bushenkov, VA
Ferreira, M. M. A.
Ribeiro, AF
Smirnov, GV
author_role author
author2 Ferreira, M. M. A.
Ribeiro, AF
Smirnov, GV
author2_role author
author
author
dc.contributor.author.fl_str_mv Bushenkov, VA
Ferreira, M. M. A.
Ribeiro, AF
Smirnov, GV
description In this work we analyze an optimal control problem for a system of two hydroelectric power stations in cascade withreversible turbines. The objective is to optimize the proft of power production while respecting the system's restrictions. Some of theserestrictions translate into state constraints and the cost function is nonconvex. This increases the complexity of the optimal controlproblem. The problem is solved numerically and two different approaches are adopted. These approaches focus on global optimizationtechniques (Chen-Burer algorithm) and on a projection estimation refnement method (PERmethod). PERmethod is used as a techniqueto reduce the dimension of the problem. Results and execution time of the two procedures are compared. (c) 2016 NSP Natural Sciences Publishing Cor.
publishDate 2016
dc.date.none.fl_str_mv 2016
2016-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/10216/110152
url https://hdl.handle.net/10216/110152
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1935-0090
10.18576/amis/100302
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
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