Contents
A new fault location numerical algorithm based on terminal data and derived in time domain is presented. The fault location and its nature (arcing or arcless fault) are estimated using least error squares technique. The faulted phase voltage is modelled as a serial connection of fault resistance and arc voltage. The new approach does not require the line zero sequence resistance as an input datum. In the paper some important features of arc voltage are given. The algorithm is derived for the most frequent case of single-phase line to ground unsymmetrical fault. The results of algorithm testing by computer simulation and under laboratory conditions are given. The influences of remote infeed, fault resistance, higher order harmonics, network topology and other factors are investigated and presented.
Übersicht
In diesem Aufsatz wird ein neuer numerischer Algorithmus dargestellt der im Zeitbereich entwickelt ist, und der als Eingabe die Daten einer Meßstelle am Leitungsanfang verwendet. Mit dem Algorithmus werden die Fehlerdistanz und die Art des Kurzschlusses
(Lichtbogenkurzschluß, Kurzschluß ohne Lichtbogenwiderstand) bestimmt. Dabei wird die Methode der kleinsten Fehlerquadrate verwendet. Die Spannung an der Fehlerstelle wird als eine Reihenschaltung aks omschem Widerstand und Lichtbogenspannung nachgebildet. Das neue Verfahren benötigt nicht den Nullwiderstand der Freileitung, dessen Bestimmung oft ungenau ist, als Eingabe. Die wichtigsten Eigenschaften des Lichtbogens werden auch angegeben. Der Algorithmus wird entwickelt für den häufigsten Fall des einpoligen Fehlers und getestet anhand von Simulationsrechnungen und im Hochspannunglabor. Der Einfluß der Art der Einspeisung, der Ober, des ohmschen Fehlerwiderstands, der Topologie des Freileitungsnetzes und anderer wichtiger Faktoren wird untersucht.
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Djurić, M.B., Terzija, V.V. & Radojević, Z.M. Overhead lines fault location and arc voltage estimation numerical algorithm derived in time domain. Electrical Engineering 81, 45–53 (1998). https://doi.org/10.1007/BF01233056
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DOI: https://doi.org/10.1007/BF01233056