An optimal control approach to the Unit Commitment problem

Detalhes bibliográficos
Autor(a) principal: Fernando A.C.C. Fontes
Data de Publicação: 2012
Outros Autores: Dalila B.M.M. Fontes, Luís Roque
Tipo de documento: Livro
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/10216/70486
Resumo: The Unit Commitment (UC) problem is a wellknown combinatorial optimization problem arising in operations planning of power systems. It is typically formulated as nonlinear mixed-integer programming problem and has been solved in the literature by a huge variety of optimization methods, ranging from exact methods (such as dynamic programming, branch-and-bound) to heuristic methods (genetic algorithms, simulated annealing, particle swarm). Here, we start by formulating the UC problem as a mixed-integer optimal control problem, with both binary-valued control variables and real-valued control variables. Then, we use a variable time transformation method to convert the problem into an optimal control problem with only real-valued controls. Finally, this problem is transcribed into a finite-dimensional nonlinear programming problem to be solved using an optimization solver.
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spelling An optimal control approach to the Unit Commitment problemEconomia e gestãoEconomics and BusinessThe Unit Commitment (UC) problem is a wellknown combinatorial optimization problem arising in operations planning of power systems. It is typically formulated as nonlinear mixed-integer programming problem and has been solved in the literature by a huge variety of optimization methods, ranging from exact methods (such as dynamic programming, branch-and-bound) to heuristic methods (genetic algorithms, simulated annealing, particle swarm). Here, we start by formulating the UC problem as a mixed-integer optimal control problem, with both binary-valued control variables and real-valued control variables. Then, we use a variable time transformation method to convert the problem into an optimal control problem with only real-valued controls. Finally, this problem is transcribed into a finite-dimensional nonlinear programming problem to be solved using an optimization solver.20122012-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookapplication/pdfhttps://hdl.handle.net/10216/70486eng10.1109/CDC.2012.6426059Fernando A.C.C. FontesDalila B.M.M. FontesLuís Roqueinfo: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:RCAAP2023-11-29T12:29:52Zoai:repositorio-aberto.up.pt:10216/70486Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:21:26.406096Repositório 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 An optimal control approach to the Unit Commitment problem
title An optimal control approach to the Unit Commitment problem
spellingShingle An optimal control approach to the Unit Commitment problem
Fernando A.C.C. Fontes
Economia e gestão
Economics and Business
title_short An optimal control approach to the Unit Commitment problem
title_full An optimal control approach to the Unit Commitment problem
title_fullStr An optimal control approach to the Unit Commitment problem
title_full_unstemmed An optimal control approach to the Unit Commitment problem
title_sort An optimal control approach to the Unit Commitment problem
author Fernando A.C.C. Fontes
author_facet Fernando A.C.C. Fontes
Dalila B.M.M. Fontes
Luís Roque
author_role author
author2 Dalila B.M.M. Fontes
Luís Roque
author2_role author
author
dc.contributor.author.fl_str_mv Fernando A.C.C. Fontes
Dalila B.M.M. Fontes
Luís Roque
dc.subject.por.fl_str_mv Economia e gestão
Economics and Business
topic Economia e gestão
Economics and Business
description The Unit Commitment (UC) problem is a wellknown combinatorial optimization problem arising in operations planning of power systems. It is typically formulated as nonlinear mixed-integer programming problem and has been solved in the literature by a huge variety of optimization methods, ranging from exact methods (such as dynamic programming, branch-and-bound) to heuristic methods (genetic algorithms, simulated annealing, particle swarm). Here, we start by formulating the UC problem as a mixed-integer optimal control problem, with both binary-valued control variables and real-valued control variables. Then, we use a variable time transformation method to convert the problem into an optimal control problem with only real-valued controls. Finally, this problem is transcribed into a finite-dimensional nonlinear programming problem to be solved using an optimization solver.
publishDate 2012
dc.date.none.fl_str_mv 2012
2012-01-01T00:00:00Z
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dc.identifier.uri.fl_str_mv https://hdl.handle.net/10216/70486
url https://hdl.handle.net/10216/70486
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1109/CDC.2012.6426059
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eu_rights_str_mv openAccess
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dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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