Arcing Faults Location Methods for Power Transmission Lines

Arcing Faults Location Methods for Power Transmission Lines

This paper presents three different fault location approaches: one-end Takagi algorithm, two-end algorithm considering natural fault loops and neural network. It is assumed that three-phase voltages and currents from both ends of the line measured asynchronously are the input signals of the fault lo...

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Main Authors: Mateusz Pustułka, Mirosław Łukowicz, Jan Iżykowski
Format: Article
Language:English
Published: ENERGA SA 2014-03-01
Series:Acta Energetica
Subjects:
fault location
artificial neural network
arcing fault
Online Access:http://actaenergetica.org/en/articles/acta-energetica-012014/arcing-faults-location-methods-for-power-transmission-lines/
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spelling doaj-104a7fc892ab4ea291243cb6d7ab8fc92020-11-24T21:31:41ZengENERGA SAActa Energetica2300-30222014-03-0118114214710.12736/issn.2300-3022.2014111Arcing Faults Location Methods for Power Transmission LinesMateusz Pustułka0Mirosław Łukowicz1Jan Iżykowski2Wrocław University of TechnologyWrocław University of TechnologyWrocław University of TechnologyThis paper presents three different fault location approaches: one-end Takagi algorithm, two-end algorithm considering natural fault loops and neural network. It is assumed that three-phase voltages and currents from both ends of the line measured asynchronously are the input signals of the fault locator. In addition to natural fault loop signals also the use of symmetrical components (positive and negative or incremental positive sequence components) for fault location were considered. Results of the evaluation study have been included, analyzed and discussed. The impact of filtration has also been considered.http://actaenergetica.org/en/articles/acta-energetica-012014/arcing-faults-location-methods-for-power-transmission-lines/fault locationartificial neural networkarcing fault
collection DOAJ
language English
format Article
sources DOAJ
author Mateusz Pustułka
Mirosław Łukowicz
Jan Iżykowski
spellingShingle Mateusz Pustułka
Mirosław Łukowicz
Jan Iżykowski
Arcing Faults Location Methods for Power Transmission Lines
Acta Energetica
fault location
artificial neural network
arcing fault
author_facet Mateusz Pustułka
Mirosław Łukowicz
Jan Iżykowski
author_sort Mateusz Pustułka
title Arcing Faults Location Methods for Power Transmission Lines
title_short Arcing Faults Location Methods for Power Transmission Lines
title_full Arcing Faults Location Methods for Power Transmission Lines
title_fullStr Arcing Faults Location Methods for Power Transmission Lines
title_full_unstemmed Arcing Faults Location Methods for Power Transmission Lines
title_sort arcing faults location methods for power transmission lines
publisher ENERGA SA
series Acta Energetica
issn 2300-3022
publishDate 2014-03-01
description This paper presents three different fault location approaches: one-end Takagi algorithm, two-end algorithm considering natural fault loops and neural network. It is assumed that three-phase voltages and currents from both ends of the line measured asynchronously are the input signals of the fault locator. In addition to natural fault loop signals also the use of symmetrical components (positive and negative or incremental positive sequence components) for fault location were considered. Results of the evaluation study have been included, analyzed and discussed. The impact of filtration has also been considered.
topic fault location
artificial neural network
arcing fault
url http://actaenergetica.org/en/articles/acta-energetica-012014/arcing-faults-location-methods-for-power-transmission-lines/
work_keys_str_mv AT mateuszpustułka arcingfaultslocationmethodsforpowertransmissionlines
AT mirosławłukowicz arcingfaultslocationmethodsforpowertransmissionlines
AT janizykowski arcingfaultslocationmethodsforpowertransmissionlines
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