dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorAzevedo, Anibal Tavares
dc.creatorLeite Oliveira, Aurelio Ribeiro
dc.creatorSoares, Secundino
dc.date2014-05-20T13:28:14Z
dc.date2016-10-25T16:47:59Z
dc.date2014-05-20T13:28:14Z
dc.date2016-10-25T16:47:59Z
dc.date2009-07-01
dc.date.accessioned2017-04-05T20:10:47Z
dc.date.available2017-04-05T20:10:47Z
dc.identifierAnnals of Operations Research. Dordrecht: Springer, v. 169, n. 1, p. 55-80, 2009.
dc.identifier0254-5330
dc.identifierhttp://hdl.handle.net/11449/9375
dc.identifierhttp://acervodigital.unesp.br/handle/11449/9375
dc.identifier10.1007/s10479-008-0389-z
dc.identifierWOS:000264880000005
dc.identifierhttp://dx.doi.org/10.1007/s10479-008-0389-z
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/857543
dc.descriptionThis paper presents an interior point method for the long-term generation scheduling of large-scale hydrothermal systems. The problem is formulated as a nonlinear programming one due to the nonlinear representation of hydropower production and thermal fuel cost functions. Sparsity exploitation techniques and an heuristic procedure for computing the interior point method search directions have been developed. Numerical tests in case studies with systems of different dimensions and inflow scenarios have been carried out in order to evaluate the proposed method. Three systems were tested, with the largest being the Brazilian hydropower system with 74 hydro plants distributed in several cascades. Results show that the proposed method is an efficient and robust tool for solving the long-term generation scheduling problem.
dc.languageeng
dc.publisherSpringer
dc.relationAnnals of Operations Research
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectHydrothermal generation scheduling
dc.subjectLong-term operational planning
dc.subjectNonlinear optimization
dc.subjectInterior point method
dc.titleInterior point method for long-term generation scheduling of large-scale hydrothermal systems
dc.typeOtro


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