dc.creatorLopez Salgado, Carlos Josue
dc.creatorAño, Osvaldo
dc.creatorOjeda Esteybar, Diego Mauricio
dc.date.accessioned2019-11-05T17:32:53Z
dc.date.accessioned2022-10-15T10:07:40Z
dc.date.available2019-11-05T17:32:53Z
dc.date.available2022-10-15T10:07:40Z
dc.date.created2019-11-05T17:32:53Z
dc.date.issued2018-09
dc.identifierLopez 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.identifier0885-8950
dc.identifierhttp://hdl.handle.net/11336/88033
dc.identifierCONICET Digital
dc.identifierCONICET
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4373848
dc.description.abstractThe 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.languageeng
dc.publisherInstitute of Electrical and Electronics Engineers
dc.relationinfo:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/document/8320812/
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1109/TPWRS.2018.2817639
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectBENDERS DECOMPOSITION
dc.subjectOUTER APPROXIMATION
dc.subjectRESERVE ALLOCATION
dc.subjectSPINNING RESERVES
dc.subjectSUPPLEMENTARY RESERVES
dc.subjectUNCERTAINTY
dc.subjectUNIT COMMITMENT
dc.titleStochastic Unit Commitment & Optimal Allocation of Reserves: A Hybrid Decomposition Approach
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:ar-repo/semantics/artículo
dc.typeinfo:eu-repo/semantics/publishedVersion


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