Time-Domain Transmission Line Fault Location Method With Full Consideration of Distributed Parameters and Line Asymmetry

Accurate fault location reduces operating cost and outage time. This paper proposes a time-domain method to accurately locate faults in transmission lines, which only requires a very short data window (several milli-seconds) during faults. First, the voltage distribution through the line during faul...

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Veröffentlicht in:IEEE transactions on power delivery 2020-12, Vol.35 (6), p.2651-2662
Hauptverfasser: Lu, Dayou, Liu, Yu, Liao, Qifeng, Wang, Binglin, Huang, Wentao, Xi, Xinze
Format: Artikel
Sprache:eng
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Zusammenfassung:Accurate fault location reduces operating cost and outage time. This paper proposes a time-domain method to accurately locate faults in transmission lines, which only requires a very short data window (several milli-seconds) during faults. First, the voltage distribution through the line during faults is accurately obtained by solving the matrix form partial differential equations using the proposed numerical scheme. The proposed numerical scheme is mathematically validated for the transmission line fault location problem, with the optimal selection of time and distance intervals to ensure stability and minimum solution error. Afterwards, the fault location is obtained via the extremum value of the voltage distribution. The method fully considers distributed parameters as well as asymmetry of the line. Extensive numerical experiments validated that (a) the proposed numerical scheme demonstrates advantages towards other numerical schemes; (b) the proposed method presents higher fault location accuracy compared to the existing method, independent of fault types, locations and impedances; and (c) the fault location accuracy is not sensitive towards fault inception angles, loading conditions, measurement errors and parameter errors. The proposed method works with relatively low sampling rates (80 samples per cycle) and is compatible with IEC 61850 standard in present digital substations.
ISSN:0885-8977
1937-4208
DOI:10.1109/TPWRD.2020.2974294