2005
DOI: 10.1049/ip-gtd:20041300
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Down-conductor fault detection and location via a voltage based method for radial distribution networks

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Cited by 39 publications
(32 citation statements)
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“…Two voltage unbalance conditions are monitored for the HIF (broken conductor) identification; however the characteristic quantity cannot be computed directly from the phase voltages. Earlier works have considered either positive sequence voltage drop or the percentage of negative and zero sequence voltage drops [18,19]. In this paper, the HIF detection has been done using both the quantities, the positive sequence voltage drop and the percentage of negative and zero sequence component voltage along with improved threshold values.…”
Section: Proposed Methods For Hif Detectionmentioning
confidence: 99%
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“…Two voltage unbalance conditions are monitored for the HIF (broken conductor) identification; however the characteristic quantity cannot be computed directly from the phase voltages. Earlier works have considered either positive sequence voltage drop or the percentage of negative and zero sequence voltage drops [18,19]. In this paper, the HIF detection has been done using both the quantities, the positive sequence voltage drop and the percentage of negative and zero sequence component voltage along with improved threshold values.…”
Section: Proposed Methods For Hif Detectionmentioning
confidence: 99%
“…The relative differential voltage has the advantage of remaining constant after the faulted point, even if the positive impedance of the source is not so small compared to the impedance of the loads [18]. Hence this quantity gives a good indication of the occurrence of the HIF.…”
Section: Proposed Methods For Hif Detectionmentioning
confidence: 99%
See 1 more Smart Citation
“…For an underground cable, HIF is normally caused by insulation defects that exposes the conductor to contact with non-conducting elements. Different HIF detection schemes have been proposed in the past [1][2][3][4][5][6][7][8][9][10][11][12]. The process of HIF detection comprises two basic steps; feature extraction and pattern matching or classification.…”
Section: Introductionmentioning
confidence: 99%
“…Unlike LIF, comparatively less research studies have been conducted to identify the HIF location. There are several approaches to determine the HIF location such as network topology technique [5][6][7][36][37][38][39], travelling wave technique [40][41][42][43] and knowledgebased technique [44][45][46][47][48].…”
Section: Introductionmentioning
confidence: 99%