Energy and reserve co-optimization within the Short Term Hydrothermal Scheduling under uncertainty: A proposed model and decomposition strategy

Autores
Lopez Salgado, Carlos Josue; Año, Osvaldo; Ojeda Esteybar, Diego Mauricio
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Procurement of spare capacity is an essential mechanism in electric power systems. Through it the system is able to endure the disturbances induced by different sources of uncertainty, which also impact the system's operational cost. This paper introduces an optimization model for the Short Term Hydrothermal Scheduling that performs a co-optimization of energy and reserves for tertiary regulation, considering hydrology uncertainty and forced outages of generation units and transmission lines. The formulation presented is extended to consider intermittent stochastic generation from wind farms or hydro plants without storage capability. This work also proposes a decomposition scheme to deal with the resulting stochastic and large scale optimization problem. The proposed strategy relies on a coordinated application of two instances of the Bender's decomposition principle. By means of two study cases it will be demonstrated the effectiveness of the proposed model and the performance of the methodology.
Fil: Lopez Salgado, Carlos Josue. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
Fil: Año, Osvaldo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
Fil: Ojeda Esteybar, Diego Mauricio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
Materia
Benders&Rsquo; Decomposition
Reliability
Reserve Allocation
Supplementary Reserves
Unit Commitment
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/61284
Acceder
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Energy and reserve co-optimization within the Short Term Hydrothermal Scheduling under uncertainty: A proposed model and decomposition strategyLopez Salgado, Carlos JosueAño, OsvaldoOjeda Esteybar, Diego MauricioBenders&Rsquo; DecompositionReliabilityReserve AllocationSupplementary ReservesUnit Commitmenthttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2Procurement of spare capacity is an essential mechanism in electric power systems. Through it the system is able to endure the disturbances induced by different sources of uncertainty, which also impact the system's operational cost. This paper introduces an optimization model for the Short Term Hydrothermal Scheduling that performs a co-optimization of energy and reserves for tertiary regulation, considering hydrology uncertainty and forced outages of generation units and transmission lines. The formulation presented is extended to consider intermittent stochastic generation from wind farms or hydro plants without storage capability. This work also proposes a decomposition scheme to deal with the resulting stochastic and large scale optimization problem. The proposed strategy relies on a coordinated application of two instances of the Bender's decomposition principle. By means of two study cases it will be demonstrated the effectiveness of the proposed model and the performance of the methodology.Fil: Lopez Salgado, Carlos Josue. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; ArgentinaFil: Año, Osvaldo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; ArgentinaFil: Ojeda Esteybar, Diego Mauricio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; ArgentinaElsevier Science Sa2016-11info: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/11336/61284Lopez Salgado, Carlos Josue; Año, Osvaldo; Ojeda Esteybar, Diego Mauricio; Energy and reserve co-optimization within the Short Term Hydrothermal Scheduling under uncertainty: A proposed model and decomposition strategy; Elsevier Science Sa; Electric Power Systems Research; 140; 11-2016; 539-5510378-7796CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0378779616301729info:eu-repo/semantics/altIdentifier/doi/10.1016/j.epsr.2016.05.020info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:45:17Zoai:ri.conicet.gov.ar:11336/61284instacron: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 09:45:18.039CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Energy and reserve co-optimization within the Short Term Hydrothermal Scheduling under uncertainty: A proposed model and decomposition strategy
title Energy and reserve co-optimization within the Short Term Hydrothermal Scheduling under uncertainty: A proposed model and decomposition strategy
spellingShingle Energy and reserve co-optimization within the Short Term Hydrothermal Scheduling under uncertainty: A proposed model and decomposition strategy
Lopez Salgado, Carlos Josue
Benders&Rsquo; Decomposition
Reliability
Reserve Allocation
Supplementary Reserves
Unit Commitment
title_short Energy and reserve co-optimization within the Short Term Hydrothermal Scheduling under uncertainty: A proposed model and decomposition strategy
title_full Energy and reserve co-optimization within the Short Term Hydrothermal Scheduling under uncertainty: A proposed model and decomposition strategy
title_fullStr Energy and reserve co-optimization within the Short Term Hydrothermal Scheduling under uncertainty: A proposed model and decomposition strategy
title_full_unstemmed Energy and reserve co-optimization within the Short Term Hydrothermal Scheduling under uncertainty: A proposed model and decomposition strategy
title_sort Energy and reserve co-optimization within the Short Term Hydrothermal Scheduling under uncertainty: A proposed model and decomposition strategy
dc.creator.none.fl_str_mv Lopez Salgado, Carlos Josue
Año, Osvaldo
Ojeda Esteybar, Diego Mauricio
author Lopez Salgado, Carlos Josue
author_facet Lopez Salgado, Carlos Josue
Año, Osvaldo
Ojeda Esteybar, Diego Mauricio
author_role author
author2 Año, Osvaldo
Ojeda Esteybar, Diego Mauricio
author2_role author
author
dc.subject.none.fl_str_mv Benders&Rsquo; Decomposition
Reliability
Reserve Allocation
Supplementary Reserves
Unit Commitment
topic Benders&Rsquo; Decomposition
Reliability
Reserve Allocation
Supplementary Reserves
Unit Commitment
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Procurement of spare capacity is an essential mechanism in electric power systems. Through it the system is able to endure the disturbances induced by different sources of uncertainty, which also impact the system's operational cost. This paper introduces an optimization model for the Short Term Hydrothermal Scheduling that performs a co-optimization of energy and reserves for tertiary regulation, considering hydrology uncertainty and forced outages of generation units and transmission lines. The formulation presented is extended to consider intermittent stochastic generation from wind farms or hydro plants without storage capability. This work also proposes a decomposition scheme to deal with the resulting stochastic and large scale optimization problem. The proposed strategy relies on a coordinated application of two instances of the Bender's decomposition principle. By means of two study cases it will be demonstrated the effectiveness of the proposed model and the performance of the methodology.
Fil: Lopez Salgado, Carlos Josue. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
Fil: Año, Osvaldo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
Fil: Ojeda Esteybar, Diego Mauricio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
description Procurement of spare capacity is an essential mechanism in electric power systems. Through it the system is able to endure the disturbances induced by different sources of uncertainty, which also impact the system's operational cost. This paper introduces an optimization model for the Short Term Hydrothermal Scheduling that performs a co-optimization of energy and reserves for tertiary regulation, considering hydrology uncertainty and forced outages of generation units and transmission lines. The formulation presented is extended to consider intermittent stochastic generation from wind farms or hydro plants without storage capability. This work also proposes a decomposition scheme to deal with the resulting stochastic and large scale optimization problem. The proposed strategy relies on a coordinated application of two instances of the Bender's decomposition principle. By means of two study cases it will be demonstrated the effectiveness of the proposed model and the performance of the methodology.
publishDate 2016
dc.date.none.fl_str_mv 2016-11
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/11336/61284
Lopez Salgado, Carlos Josue; Año, Osvaldo; Ojeda Esteybar, Diego Mauricio; Energy and reserve co-optimization within the Short Term Hydrothermal Scheduling under uncertainty: A proposed model and decomposition strategy; Elsevier Science Sa; Electric Power Systems Research; 140; 11-2016; 539-551
0378-7796
CONICET Digital
CONICET
url http://hdl.handle.net/11336/61284
identifier_str_mv Lopez Salgado, Carlos Josue; Año, Osvaldo; Ojeda Esteybar, Diego Mauricio; Energy and reserve co-optimization within the Short Term Hydrothermal Scheduling under uncertainty: A proposed model and decomposition strategy; Elsevier Science Sa; Electric Power Systems Research; 140; 11-2016; 539-551
0378-7796
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0378779616301729
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.epsr.2016.05.020
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science Sa
publisher.none.fl_str_mv Elsevier Science Sa
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
_version_ 1842268720761667584
score 13.13397

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