Brasil | Actas de congresos
dc.creatorRomero R.
dc.creatorGallego R.A.
dc.creatorMonticelli A.
dc.date1995
dc.date2015-06-26T17:14:54Z
dc.date2015-11-26T14:21:04Z
dc.date2015-06-26T17:14:54Z
dc.date2015-11-26T14:21:04Z
dc.date.accessioned2018-03-28T21:22:48Z
dc.date.available2018-03-28T21:22:48Z
dc.identifier
dc.identifierIeee Power Industry Computer Applications Conference. Ieee, Piscataway, Nj, United States, v. , n. , p. 278 - 283, 1995.
dc.identifier
dc.identifier
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-0029224315&partnerID=40&md5=3968988e57fc3bff7ea04633b682a7da
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/96042
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/96042
dc.identifier2-s2.0-0029224315
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1244426
dc.descriptionThis paper presents a simulated annealing approach to the long term transmission expansion planning problem which is a hard, large scale combinatorial problem. The proposed approach has been compared with a more conventional optimization technique based on mathematical decomposition with a zero-one implicit enumeration procedure. Tests have been performed on three different systems. Two smaller systems for which optimal solutions are known have been used to tune the main parameters of the simulated annealing process. The simulated annealing method has then been applied to a larger example system for which no optimal solutions are known: as a result an entire family of interesting solutions have been obtained with costs about 7% less than the best solutions known for that particular example system.
dc.description
dc.description
dc.description278
dc.description283
dc.languageen
dc.publisherIEEE, Piscataway, NJ, United States
dc.relationIEEE Power Industry Computer Applications Conference
dc.rightsfechado
dc.sourceScopus
dc.titleTransmission System Expansion Planning By Simulated Annealing
dc.typeActas de congresos


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