2015
DOI: 10.1002/etep.2090
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A traveling wave natural frequency-based single-ended fault location method with unknown equivalent system impedance

Abstract: SUMMARYSingle-ended traveling-wave fault location methods have difficulties in identifying the incident traveling wave and its corresponding reflection from the fault point. Thus, the algorithms' accuracy is always affected by wave-front identification. In this paper, a novel single-ended fault location method based on traveling wave natural frequencies is proposed for transmission line. The key of this method is to extract natural frequency and to achieve system parameters, of which system equivalent impedanc… Show more

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Cited by 14 publications
(14 citation statements)
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“…The schemes based on traveling waves are used to protect the transmission lines. [21][22][23] These schemes can also locate the fault; however, distinct relays having very high-sampling frequency are required. Recently, a new distance relay based on Taylor-Kalman-Fourier filter is proposed in the study of Zamora-Mendez et al, 24 which is not affected by the presence of DC decaying component and harmonics.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The schemes based on traveling waves are used to protect the transmission lines. [21][22][23] These schemes can also locate the fault; however, distinct relays having very high-sampling frequency are required. Recently, a new distance relay based on Taylor-Kalman-Fourier filter is proposed in the study of Zamora-Mendez et al, 24 which is not affected by the presence of DC decaying component and harmonics.…”
Section: Discussionmentioning
confidence: 99%
“…These schemes are adaptive and mitigate the underreaching/overreaching effects because of the presence of shunt FACTS device, but only single‐phase fault has been taken into consideration. The schemes based on traveling waves are used to protect the transmission lines . These schemes can also locate the fault; however, distinct relays having very high‐sampling frequency are required.…”
Section: Introductionmentioning
confidence: 99%
“…x i = a 1 s 1i + a 2 s 2i + a 3 s 3i+ a m s ji (4) where j = 1. . .m and s ji is a random vector known as source vector.…”
Section: Independent Component Analysismentioning
confidence: 99%
“…Interesting methods for the location and classification of faults in transmission lines based on the TW theory have been proposed so far [2][3][4][5]. For instance, methods using wavelet transforms (WT) combined with SVM have been adopted to decompose the current and voltage signals associated to the fault in various input levels to classify the faults properly [6].…”
mentioning
confidence: 99%
“…superimposed components, 4. traveling waves, 5. power quality monitoring data, 6. artificial intelligence.…”
Section: Introductionmentioning
confidence: 99%