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dc.contributor.authorBeltrán Royo, César
dc.contributor.authorHeredia, F.-Javier (Francisco Javier)
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa
dc.date.accessioned2012-01-20T13:06:17Z
dc.date.available2012-01-20T13:06:17Z
dc.date.created2002-02
dc.date.issued2002-02
dc.identifier.citationBeltran, C.; Heredia, F.-Javier. Unit commitment by augmented lagrangian relaxation: testing two decomposition approaches. "Journal of optimization theory and applications", Febrer 2002, vol. 112, núm. 2, p. 295-314.
dc.identifier.issn0022-3239
dc.identifier.urihttp://hdl.handle.net/2117/14707
dc.description.abstractOne of the main drawbacks of the augmented Lagrangian relaxation method is that the quadratic term introduced by the augmented Lagrangian is not separable. We compare empirically and theoretically two methods designed to cope with the nonseparability of the Lagrangian function: the auxiliary problem principle method and the block coordinated descent method. Also, we use the so-called unit commitment problem to test both methods. The objective of the unit commitment problem is to optimize the electricity production and distribution, considering a short-term planning horizon.
dc.format.extent20 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Equacions diferencials i integrals::Sistemes dinàmics
dc.subject.lcshHamiltonian systems
dc.titleUnit commitment by augmented lagrangian relaxation: testing two decomposition approaches
dc.typeArticle
dc.subject.lemacSistemes dinàmics
dc.contributor.groupUniversitat Politècnica de Catalunya. GNOM - Grup d'Optimització Numèrica i Modelització
dc.identifier.doi10.1023/A:1013601906224
dc.description.peerreviewedPeer Reviewed
dc.subject.ams37J Finite-dimensional Hamiltonian, Lagrangian, contact, and nonholonomic systems
dc.relation.publisherversionhttp://www.springerlink.com/content/w301484362208124/
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac800305
dc.description.versionPostprint (published version)
local.citation.authorBeltran, C.; Heredia, F.-Javier
local.citation.publicationNameJournal of optimization theory and applications
local.citation.volume112
local.citation.number2
local.citation.startingPage295
local.citation.endingPage314


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