A novel wavelet packet transform based fault identification procedures in HV transmission line based on current signals

Abstract

<p>This paper presents an adaptive fault identification algorithm bases on wavelet packet transform (WPT) for two-terminal power transmission lines. The proposed scheme performs four functions which are the fault detection, fault classification, distinguishing among the temporary and the permanent faults, and detection of the arc extinguish instant. The presented algorithm only uses the measured current at one terminal reducing the required cost. Also, it can mitigate the error resulting from the load variations via updating the presetting value. Consequently, it does not need retesting under changing the transmission system configurations. The proposed scheme is deduced in the spectral domain and depended on the application of the WPT. The db6 wavelet packet is used for decomposing the faulty phase current waveform (level 7) to get the energy coefficients. The presented algorithm is assessed under various fault conditions such as fault distances, inception angles, and faults nature via simulating different secondary arc models via using ATP/EMTP. The obtained results are investigated and evaluated.</p>

Transmission Line Faults in Power System and the Different Algorithms for Identification, Classification and Localization: A Brief Review of Methods

“…Wavelet packet transform (WPT) methodology is another way of using wavelet analysis in developing power system fault analyzer as adapted in [26,27]. The authors in [26] have used WPT with ANN architecture for estimation of fault location.…”

“…The method produces highly accurate results with only 0.14% of worst deviations, especially with the use of energy of current signal as input to the proposed ANN model; although, nothing much is mentioned about the variation in fault resistance. A two-terminal HV transmission line is studied by Adly, A. R. et al (2019) in [27] using similar methods in spectral domain using db6 wavelet packet, i.e., using level 7 of decomposition to obtain the energy coefficients; although this high level of decomposition increases the computational burden many folds. The key feature of this work is that the proposed scheme is based on an adaptive threshold level and no special adjustment is required for different transmission systems.…”

A single-end directional relaying scheme for double-circuit transmission line using fuzzy expert system

“…Researchers have explained technique to classify and locate transmission line faults in [7][8][9]. The protection techniques [10,11,12] have been used the fault currents only. The protection procedures [13,14,15] have been explored the one end data only.…”

“…A comprehensive study of protection methodology for transmission line is described in [18]. The methodologies in the literature [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17] did not provide the discrimination, classification, and location of shunt faults in double-circuit three-phase transmission (DC3PT) line.…”

Power system fault identification and localization using multiple linear regression of principal component distance indices

“…ANN sometimes is combined with other topologies like fuzzy logic in fault treatment [5]. Wavelet transformation and wavelet entropy has been extensively implemented successfully in fault analysis [6][7]. Wavelet transformation has often been combined with other methods like Adaptive neuro fuzzy inference system [8], genetic algorithm (GA) [9], principal component analysis (PCA) [10] etc.…”