On the use of partially linear model in identification of arcing-fault location on overhead high-voltage transmission lines

Publikation: Beitrag in FachzeitschriftArtikelBegutachtung

1 Zitat (Scopus)

Abstract

The task of locating an arcing-fault on overhead line using sampled measurements obtained at a single line terminal could be classified as a practical nonlinear system identification problem. The practical reasons impose the requirement that the solution should be with maximum possible precision. Dynamic behavior of an arc in open air is influenced by the environmental conditions that are changing randomly, and therefore the useful practically application of parametric modeling is out of question. The requirement to identify only one parameter is yet another specific of this problem. The parameter we need is the one that linearly correlates the voltage samples with the current derivative samples (inductance). The correlation between the voltage samples and the current samples depends on the unpredictable arc dynamic behavior. Therefore this correlation is reconstructed using nonparametric regression. A partially linear model combines both, parametric and nonparametric parts in one model. The fit of this model is noniterative, and provides an efficient way to identify (pull out) a single linear correlation from the nonlinear time series.

OriginalspracheEnglisch
Aufsatznummer6
Seiten (von - bis)1975-1985
Seitenumfang11
FachzeitschriftInternational Journal of Bifurcation and Chaos in Applied Sciences and Engineering
Jahrgang14
Ausgabenummer6
DOIs
PublikationsstatusVeröffentlicht - Jun 2004
Extern publiziertJa

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