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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
2019-11-05T17:32:53Z  
dc.date.issued
2018-09  
dc.identifier.citation
Lopez Salgado, Carlos Josue; Año, Osvaldo; Ojeda Esteybar, Diego Mauricio; Stochastic Unit Commitment & Optimal Allocation of Reserves: A Hybrid Decomposition Approach; Institute of Electrical and Electronics Engineers; Ieee Transactions On Power Systems; 33; 5; 9-2018; 1-11  
dc.identifier.issn
0885-8950  
dc.identifier.uri
http://hdl.handle.net/11336/88033  
dc.description.abstract
The unit commitment is still a widely studied problem, especially when more renewable energy of stochastic character is being added to power systems. This paper proposes a model for weekly planning of systems involving hydro, wind, and thermal energy under a stochastic perspective. The proposed model follows the endogenous reserve determination criterion to achieve a simultaneous optimization of energy and reserves considering wind uncertainty, forced outages of equipment, a dc Flow model of the network, and cascaded head sensitive hydro systems, among others. The paper also develops a practical solution methodology based on outer approximation and benders decomposition. Testing has been conducted over four systems, and computational results demonstrate that the proposed model and solution are useful and effective.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Institute of Electrical and Electronics Engineers  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
BENDERS DECOMPOSITION  
dc.subject
OUTER APPROXIMATION  
dc.subject
RESERVE ALLOCATION  
dc.subject
SPINNING RESERVES  
dc.subject
SUPPLEMENTARY RESERVES  
dc.subject
UNCERTAINTY  
dc.subject
UNIT COMMITMENT  
dc.subject.classification
Ingeniería Eléctrica y Electrónica  
dc.subject.classification
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información  
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS  
dc.title
Stochastic Unit Commitment & Optimal Allocation of Reserves: A Hybrid Decomposition Approach  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2019-10-22T15:05:30Z  
dc.journal.volume
33  
dc.journal.number
5  
dc.journal.pagination
1-11  
dc.journal.pais
Estados Unidos  
dc.journal.ciudad
Nueva York  
dc.description.fil
Fil: Lopez Salgado, Carlos Josue. Universidad Tecnológica Centroamericana; Honduras  
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
Ieee Transactions On Power Systems  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/document/8320812/  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1109/TPWRS.2018.2817639