Faulted zone determination using statistical modeling of voltage sag database in power distribution systems

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Autor principal: Gabriel Ordóñez Plata
Formato: Artículo científico
Publicado: Universidad de Antioquia 2009
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author Gabriel Ordóñez Plata
author_facet Gabriel Ordóñez Plata
contents Faulted zone determination using statistical modeling of voltage sag database in power distribution systems Gabriel Ordóñez Plata Jorge Cormane Angarita Juan Mora Flórez Ingeniería Power quality fault location finite mixtures statistical model density mixture models An alternative solution to the problem of power service continuity associated to fault location is presented in this paper, by using a methodology of statistical nature based on finite mixtures. A statistical model which helps to locate the faulted zone, is obtained from the extraction of the magnitude of the voltage sag registered during a fault event, along with the network parameters and topology. The objective is to offer an economic alternative of easy implementation for the development of strategies oriented to improve the reliability from the reduction of the restoration times in power distribution systems. As results presented for an application example in a 25kV system, the faulted zones were identified, having low error rates. 2009 artículo científico 0120-6230 https://www.redalyc.org/articulo.oa?id=43004718 http://www.redalyc.org/revista.oa?id=430 Revista Facultad de Ingeniería Universidad de Antioquia application/pdf Universidad de Antioquia Revista Facultad de Ingeniería Universidad de Antioquia (Colombia) Num.47
format Artículo científico
id redalyc_43004718
institution Redalyc
language
publishDate 2009
publisher Universidad de Antioquia
spellingShingle Faulted zone determination using statistical modeling of voltage sag database in power distribution systems
Gabriel Ordóñez Plata
Ingeniería
Power quality
fault location
finite mixtures
statistical model
density mixture models
Faulted zone determination using statistical modeling of voltage sag database in power distribution systems Gabriel Ordóñez Plata Jorge Cormane Angarita Juan Mora Flórez Ingeniería Power quality fault location finite mixtures statistical model density mixture models An alternative solution to the problem of power service continuity associated to fault location is presented in this paper, by using a methodology of statistical nature based on finite mixtures. A statistical model which helps to locate the faulted zone, is obtained from the extraction of the magnitude of the voltage sag registered during a fault event, along with the network parameters and topology. The objective is to offer an economic alternative of easy implementation for the development of strategies oriented to improve the reliability from the reduction of the restoration times in power distribution systems. As results presented for an application example in a 25kV system, the faulted zones were identified, having low error rates. 2009 artículo científico 0120-6230 https://www.redalyc.org/articulo.oa?id=43004718 http://www.redalyc.org/revista.oa?id=430 Revista Facultad de Ingeniería Universidad de Antioquia application/pdf Universidad de Antioquia Revista Facultad de Ingeniería Universidad de Antioquia (Colombia) Num.47
title Faulted zone determination using statistical modeling of voltage sag database in power distribution systems
topic Ingeniería
Power quality
fault location
finite mixtures
statistical model
density mixture models
url https://www.redalyc.org/articulo.oa?id=43004718