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dc.contributor.authorUrrutia Ramos, Diego Felipees-ES
dc.contributor.authorBuitrago, Leidyes-ES
dc.contributor.authorTorres-Sánchez, Horacioes-ES
dc.contributor.authorGallego Vega, Luis Eduardoes-ES
dc.contributor.authorDelgadillo Vega, Andrés Ramiroes-ES
dc.date.accessioned2016-01-15T11:27:48Z-
dc.date.available2016-01-15T11:27:48Z-
dc.date.issued2006-08-15es_ES
dc.identifier.urihttp://hdl.handle.net/11531/5654-
dc.descriptionCapítulos en libroses_ES
dc.description.abstractes-ES
dc.description.abstractIn last years optimal allocation of Active Power Line Conditioner (APLC) at industrial facilities has become an important research subject. In this work the genetic algorithms (GA) are used to determine the allocation and sizing of APLCs. This methodology is implemented in ATP (alternative transients program), and particularly with its components called ATP models routines. The main topic of the paper is to illustrate the process used to achieve the implementation of GA with these components using ATP foreign functions. The structure of chromosome, the genetic operators and a novel concept of ATP models networks are described. The approach proposed is applied on an 11 bus test system, illustrating the minimization of voltage distortion at PCC (point coupling common) and the current harmonic injection of APLCs.en-GB
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoen-GBes_ES
dc.publisherSin editorial (Caracas, Venezuela)es_ES
dc.rightses_ES
dc.rights.uries_ES
dc.sourceLibro: Transmission & Distribution Conference and Exposition: Latin America, 2006. IEEE/PES, Página inicial: 1-5, Página final:es_ES
dc.subject.otherInstituto de Investigación Tecnológica (IIT)es_ES
dc.titleImplementation of Genetic Algorithms in ATP for Optimal Allocation and Sizing of Active Power Line Conditionerses_ES
dc.typeinfo:eu-repo/semantics/bookPartes_ES
dc.description.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccesses_ES
dc.keywordses-ES
dc.keywordsActive Power Line Conditioner, ATP foreign functions, ATP models, Computational Intelligence, Power Quality Solutions, Genetic Algorithms.en-GB
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