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dc.contributor.authorJiménez Octavio, Jesús Ramónes-ES
dc.contributor.authorLópez García, Óscares-ES
dc.contributor.authorPilo De La Fuente, Eduardoes-ES
dc.contributor.authorCarnicero López, Albertoes-ES
dc.date.accessioned2016-01-15T11:19:01Z
dc.date.available2016-01-15T11:19:01Z
dc.date.issued2008-02-01es_ES
dc.identifier.issn1526-1492es_ES
dc.identifier.urihttps:doi.org10.3970cmes.2008.025.081es_ES
dc.descriptionArtículos en revistases_ES
dc.description.abstractes-ES
dc.description.abstractThis paper presents a multidisciplinary design and optimization method of power transmission lines. This optimization method solves both mechanical and electrical problems by a new strongly coupled method that also optimizes the potential designs using a genetic algorithm. A multi-objective function is formulated to simplify a constrained typical optimization problem into an unconstrained one. The scope of this work is the sizing and configuration optimization problem with fixed topology. The method is applied to a railway overhead transmission line. The genetic algorithm is applied to mechanical, electrical and electromechanical optimization problems obtaining good results. Finally, the solution of the electromechanical optimization problem is a trade-off between the multidisciplinary nature of the problem and the sort of optimization, sizing and configuration.en-GB
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoen-GBes_ES
dc.rightses_ES
dc.rights.uries_ES
dc.sourceRevista: CMES: Computer Modeling in Engineering & Sciences, Periodo: 1, Volumen: online, Número: 2, Página inicial: 81, Página final: 97es_ES
dc.subject.otherInstituto de Investigación Tecnológica (IIT)es_ES
dc.titleCoupled electromechanical optimization of power transmission lineses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.description.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.rights.holderes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.keywordses-ES
dc.keywordsMultidisciplinary optimization, multi-objective analysis, structural design, electrical design, genetic algorithmen-GB


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