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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
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OUTER APPROXIMATION
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RESERVE ALLOCATION
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SPINNING RESERVES
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SUPPLEMENTARY RESERVES
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UNCERTAINTY
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UNIT COMMITMENT
dc.subject.classification
Ingeniería Eléctrica y Electrónica
dc.subject.classification
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información
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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
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