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dc.contributor.author
López Salgado, Carlos Josue
dc.contributor.author
Helseth, Arild
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Ojeda Esteybar, Diego Mauricio
dc.contributor.author
Año, Osvaldo
dc.date.available
2021-10-13T15:48:30Z
dc.date.issued
2020-06
dc.identifier.citation
López Salgado, Carlos Josue; Helseth, Arild ; Ojeda Esteybar, Diego Mauricio; Año, Osvaldo; Stochastic daily hydrothermal scheduling based on decomposition and parallelization; Elsevier; International Journal of Electrical Power & Energy Systems; 118; 6-2020; 1-11
dc.identifier.issn
0142-0615
dc.identifier.uri
http://hdl.handle.net/11336/143420
dc.description.abstract
This paper studies the stochastic short term hydrothermal scheduling of systems that have a significant contribution from controllable reservoirs, focusing on the reservoirs´ operation policy when non-linearity and deployment of supplementary reserves at the real operation stage are modeled. Wind power and forced outages of power plants and transmission lines are treated as stochastic variables, and the total reserve is an endogenous variable to the model. The problem includes cascaded hydro systems with head-sensitive plants, a DC power flow representation with nonlinear transmission losses, and four types of operating reserves; and it aims at pre-positioning generation and reserves schedules in the light of the expected deployment of operating reserves throughout the day. To solve the optimization problem, a hybrid scheme elaborated from outer approximation and Benders decomposition is applied. The proposed solution method is tested in a real size system, where its effectiveness, in terms of computational peed and accuracy, is demonstrated.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
HYDROTHERMAL SCHEDULING
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STOCHASTIC PROGRAMMING
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BENDERS DECOMPOSITION
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OUTER APPROXIMATION
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WING POWER UNCERTAINTY
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Ingeniería Eléctrica y Electrónica
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Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información
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INGENIERÍAS Y TECNOLOGÍAS
dc.title
Stochastic daily hydrothermal scheduling based on decomposition and parallelization
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2021-09-07T13:48:47Z
dc.journal.volume
118
dc.journal.pagination
1-11
dc.journal.pais
Países Bajos
dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: López 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: Helseth, Arild. Norwegian University Of Science And Technology. Faculty Of Information Technology And Electrical Engineering.; Noruega
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.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.journal.title
International Journal of Electrical Power & Energy Systems
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1016/j.ijepes.2019.105700
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0142061519301498?via%3Dihub
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