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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/6959
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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 Técnicas2025-09-03T10:09:36Zoai: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:34982025-09-03 10:09:37.206CONICET 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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13.13397 |