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dc.rights.licenseAtribución-NoComercial 4.0 Internacional
dc.contributor.authorRomero, Miguel Fernando
dc.contributor.authorGallego, Luis Eduardo
dc.contributor.authorPavas, Fabio Andrés
dc.date.accessioned2019-07-02T18:53:18Z
dc.date.available2019-07-02T18:53:18Z
dc.date.issued2015-07-01
dc.identifier.issnISSN: 2346-2183
dc.identifier.urihttps://repositorio.unal.edu.co/handle/unal/60688
dc.description.abstractA methodology based on epidemiological analysis for assessing risk factors and harmonic distortion incidence rate in a distribution network is proposed in this paper. The methodology analyzes the current harmonics emission risk at the PCC due to the connection of disturbing loads. These loads are modeled and multiple loads connection scenarios are simulated using Monte Carlo Algorithms. From the simulation results, potential risk factors for critical harmonics indicators are identified, leading to a classification of the scenarios into groups of exposed or unexposed to risk factors. Finally, the incidence rate of harmonics is calculated for each load connection scenario and the risk of critical harmonics scenarios due to the exposure to risk factors is estimated.
dc.format.mimetypeapplication/pdf
dc.language.isospa
dc.publisherUniversidad Nacional de Colombia (Sede Medellín). Facultad de Minas.
dc.relationhttps://revistas.unal.edu.co/index.php/dyna/article/view/48585
dc.relation.ispartofUniversidad Nacional de Colombia Revistas electrónicas UN Dyna
dc.relation.ispartofDyna
dc.rightsDerechos reservados - Universidad Nacional de Colombia
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subject.ddc62 Ingeniería y operaciones afines / Engineering
dc.titleEpidemiological approach to assess risk factors and current distortion incidence on distribution networks
dc.typeArtículo de revista
dc.type.driverinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.identifier.eprintshttp://bdigital.unal.edu.co/59020/
dc.relation.referencesRomero, Miguel Fernando and Gallego, Luis Eduardo and Pavas, Fabio Andrés (2015) Epidemiological approach to assess risk factors and current distortion incidence on distribution networks. DYNA, 82 (192). pp. 101-108. ISSN 2346-2183
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.subject.proposalPower Quality (PQ)
dc.subject.proposalharmonic distortion
dc.subject.proposalrisk factors
dc.subject.proposalrelative risk (RR).
dc.type.coarhttp://purl.org/coar/resource_type/c_6501
dc.type.coarversionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.contentText
dc.type.redcolhttp://purl.org/redcol/resource_type/ART
oaire.accessrightshttp://purl.org/coar/access_right/c_abf2


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Atribución-NoComercial 4.0 InternacionalThis work is licensed under a Creative Commons Reconocimiento-NoComercial 4.0.This document has been deposited by the author (s) under the following certificate of deposit