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dc.contributor.author
Lopez Salgado, Carlos Josue
dc.contributor.author
Año, Osvaldo
dc.contributor.author
Ojeda Esteybar, Diego Mauricio
dc.date.available
2018-09-28T19:20:44Z
dc.date.issued
2016-11
dc.identifier.citation
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
dc.identifier.issn
0378-7796
dc.identifier.uri
http://hdl.handle.net/11336/61284
dc.description.abstract
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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier Science Sa
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.subject
Benders&Rsquo; Decomposition
dc.subject
Reliability
dc.subject
Reserve Allocation
dc.subject
Supplementary Reserves
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Unit Commitment
dc.subject.classification
Ingeniería de Sistemas y Comunicaciones
dc.subject.classification
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
dc.title
Energy and reserve co-optimization within the Short Term Hydrothermal Scheduling under uncertainty: A proposed model and decomposition strategy
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-09-27T20:23:34Z
dc.journal.volume
140
dc.journal.pagination
539-551
dc.journal.pais
Países Bajos
dc.journal.ciudad
Amsterdam
dc.description.fil
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
dc.description.fil
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
dc.description.fil
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
dc.journal.title
Electric Power Systems Research
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0378779616301729
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.epsr.2016.05.020
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