On the computational studies of deterministic global optimization of head dependent short-term hydro scheduling

Autores
Lima, Ricardo M.; Marcovecchio, Marian Gabriela; Queiroz Novais, Augusto; Grossmann, Ignacio E.
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This paper addresses the global optimization of the short term scheduling for hydroelectric power generation. A tailored deterministic global optimization approach, denominated sHBB, is developed and its performance is analyzed. This approach is applied to the optimization of a Mixed Integer Nonlinear Programming (MINLP) model for cascades of hydro plants, each one with multiple turbines, and characterized by a detailed representation of the net head of water, and a nonlinear hydropower generation function. A simplified model is also considered where only the linear coefficients of the forebay and tailrace polynomial functions are retained. For comparison purposes, four case studies are addressed with the proposed global optimization strategy and with a commercial solver for global optimization. The results show that the proposed approach is more efficient than the commercial solver in terms of finding a better solution with a smaller optimality gap, using less CPU time. The proposed method can also find alternative and potentially more profitable power production schedules. Significant insights were also obtained regarding the effectiveness of the proposed relaxation strategies.
Fil: Lima, Ricardo M.. Portuguese National Laboratory for Energy and Geology; Portugal
Fil: Marcovecchio, Marian Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentina
Fil: Queiroz Novais, Augusto. Portuguese National Laboratory for Energy and Geology; Portugal
Fil: Grossmann, Ignacio E.. University Of Carnegie Mellon; Estados Unidos
Materia
Global Optimization
Mixed Integer Nonlinear Programming (Minlp)
Short Term Hydro Scheduling
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/6959
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/6959
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling On the computational studies of deterministic global optimization of head dependent short-term hydro schedulingLima, Ricardo M.Marcovecchio, Marian GabrielaQueiroz Novais, AugustoGrossmann, Ignacio E.Global OptimizationMixed Integer Nonlinear Programming (Minlp)Short Term Hydro Schedulinghttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2This paper addresses the global optimization of the short term scheduling for hydroelectric power generation. A tailored deterministic global optimization approach, denominated sHBB, is developed and its performance is analyzed. This approach is applied to the optimization of a Mixed Integer Nonlinear Programming (MINLP) model for cascades of hydro plants, each one with multiple turbines, and characterized by a detailed representation of the net head of water, and a nonlinear hydropower generation function. A simplified model is also considered where only the linear coefficients of the forebay and tailrace polynomial functions are retained. For comparison purposes, four case studies are addressed with the proposed global optimization strategy and with a commercial solver for global optimization. The results show that the proposed approach is more efficient than the commercial solver in terms of finding a better solution with a smaller optimality gap, using less CPU time. The proposed method can also find alternative and potentially more profitable power production schedules. Significant insights were also obtained regarding the effectiveness of the proposed relaxation strategies.Fil: Lima, Ricardo M.. Portuguese National Laboratory for Energy and Geology; PortugalFil: Marcovecchio, Marian Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); ArgentinaFil: Queiroz Novais, Augusto. Portuguese National Laboratory for Energy and Geology; PortugalFil: Grossmann, Ignacio E.. University Of Carnegie Mellon; Estados UnidosInstitute Of Electrical And Electronics Engineers2013-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/6959Lima, Ricardo M.; Marcovecchio, Marian Gabriela; Queiroz Novais, Augusto; Grossmann, Ignacio E.; On the computational studies of deterministic global optimization of head dependent short-term hydro scheduling; Institute Of Electrical And Electronics Engineers; Ieee Transactions On Power Systems; 28; 4; 11-2013; 4336-43470885-8950enginfo:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6575183&tag=1info:eu-repo/semantics/altIdentifier/doi/info:eu-repo/semantics/altIdentifier/doi/10.1109/TPWRS.2013.2274559info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:40:25Zoai:ri.conicet.gov.ar:11336/6959instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:40:26.238CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv On the computational studies of deterministic global optimization of head dependent short-term hydro scheduling
title On the computational studies of deterministic global optimization of head dependent short-term hydro scheduling
spellingShingle On the computational studies of deterministic global optimization of head dependent short-term hydro scheduling
Lima, Ricardo M.
Global Optimization
Mixed Integer Nonlinear Programming (Minlp)
Short Term Hydro Scheduling
title_short On the computational studies of deterministic global optimization of head dependent short-term hydro scheduling
title_full On the computational studies of deterministic global optimization of head dependent short-term hydro scheduling
title_fullStr On the computational studies of deterministic global optimization of head dependent short-term hydro scheduling
title_full_unstemmed On the computational studies of deterministic global optimization of head dependent short-term hydro scheduling
title_sort On the computational studies of deterministic global optimization of head dependent short-term hydro scheduling
dc.creator.none.fl_str_mv Lima, Ricardo M.
Marcovecchio, Marian Gabriela
Queiroz Novais, Augusto
Grossmann, Ignacio E.
author Lima, Ricardo M.
author_facet Lima, Ricardo M.
Marcovecchio, Marian Gabriela
Queiroz Novais, Augusto
Grossmann, Ignacio E.
author_role author
author2 Marcovecchio, Marian Gabriela
Queiroz Novais, Augusto
Grossmann, Ignacio E.
author2_role author
author
author
dc.subject.none.fl_str_mv Global Optimization
Mixed Integer Nonlinear Programming (Minlp)
Short Term Hydro Scheduling
topic Global Optimization
Mixed Integer Nonlinear Programming (Minlp)
Short Term Hydro Scheduling
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv This paper addresses the global optimization of the short term scheduling for hydroelectric power generation. A tailored deterministic global optimization approach, denominated sHBB, is developed and its performance is analyzed. This approach is applied to the optimization of a Mixed Integer Nonlinear Programming (MINLP) model for cascades of hydro plants, each one with multiple turbines, and characterized by a detailed representation of the net head of water, and a nonlinear hydropower generation function. A simplified model is also considered where only the linear coefficients of the forebay and tailrace polynomial functions are retained. For comparison purposes, four case studies are addressed with the proposed global optimization strategy and with a commercial solver for global optimization. The results show that the proposed approach is more efficient than the commercial solver in terms of finding a better solution with a smaller optimality gap, using less CPU time. The proposed method can also find alternative and potentially more profitable power production schedules. Significant insights were also obtained regarding the effectiveness of the proposed relaxation strategies.
Fil: Lima, Ricardo M.. Portuguese National Laboratory for Energy and Geology; Portugal
Fil: Marcovecchio, Marian Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentina
Fil: Queiroz Novais, Augusto. Portuguese National Laboratory for Energy and Geology; Portugal
Fil: Grossmann, Ignacio E.. University Of Carnegie Mellon; Estados Unidos
description This paper addresses the global optimization of the short term scheduling for hydroelectric power generation. A tailored deterministic global optimization approach, denominated sHBB, is developed and its performance is analyzed. This approach is applied to the optimization of a Mixed Integer Nonlinear Programming (MINLP) model for cascades of hydro plants, each one with multiple turbines, and characterized by a detailed representation of the net head of water, and a nonlinear hydropower generation function. A simplified model is also considered where only the linear coefficients of the forebay and tailrace polynomial functions are retained. For comparison purposes, four case studies are addressed with the proposed global optimization strategy and with a commercial solver for global optimization. The results show that the proposed approach is more efficient than the commercial solver in terms of finding a better solution with a smaller optimality gap, using less CPU time. The proposed method can also find alternative and potentially more profitable power production schedules. Significant insights were also obtained regarding the effectiveness of the proposed relaxation strategies.
publishDate 2013
dc.date.none.fl_str_mv 2013-11
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/6959
Lima, Ricardo M.; Marcovecchio, Marian Gabriela; Queiroz Novais, Augusto; Grossmann, Ignacio E.; On the computational studies of deterministic global optimization of head dependent short-term hydro scheduling; Institute Of Electrical And Electronics Engineers; Ieee Transactions On Power Systems; 28; 4; 11-2013; 4336-4347
0885-8950
url http://hdl.handle.net/11336/6959
identifier_str_mv Lima, Ricardo M.; Marcovecchio, Marian Gabriela; Queiroz Novais, Augusto; Grossmann, Ignacio E.; On the computational studies of deterministic global optimization of head dependent short-term hydro scheduling; Institute Of Electrical And Electronics Engineers; Ieee Transactions On Power Systems; 28; 4; 11-2013; 4336-4347
0885-8950
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6575183&tag=1
info:eu-repo/semantics/altIdentifier/doi/
info:eu-repo/semantics/altIdentifier/doi/10.1109/TPWRS.2013.2274559
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Institute Of Electrical And Electronics Engineers
publisher.none.fl_str_mv Institute Of Electrical And Electronics Engineers
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.069144

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