CLC number: TM762.2
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2010-09-28
Cited: 3
Clicked: 7793
Sadegh Jamali, Navid Ghaffarzadeh. A wavelet packet based method for adaptive single-pole auto-reclosing[J]. Journal of Zhejiang University Science C, 2010, 11(12): 1016-1024.
@article{title="A wavelet packet based method for adaptive single-pole auto-reclosing",
author="Sadegh Jamali, Navid Ghaffarzadeh",
journal="Journal of Zhejiang University Science C",
volume="11",
number="12",
pages="1016-1024",
year="2010",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.C0910617"
}
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%T A wavelet packet based method for adaptive single-pole auto-reclosing
%A Sadegh Jamali
%A Navid Ghaffarzadeh
%J Journal of Zhejiang University SCIENCE C
%V 11
%N 12
%P 1016-1024
%@ 1869-1951
%D 2010
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.C0910617
TY - JOUR
T1 - A wavelet packet based method for adaptive single-pole auto-reclosing
A1 - Sadegh Jamali
A1 - Navid Ghaffarzadeh
J0 - Journal of Zhejiang University Science C
VL - 11
IS - 12
SP - 1016
EP - 1024
%@ 1869-1951
Y1 - 2010
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.C0910617
Abstract: We present a new algorithm for adaptive single-pole auto-reclosing of power transmission lines using wavelet packet transform. The db8 wavelet packet decomposes the faulted phase voltage waveform to obtain the coefficients of the nodes 257, 259 to 262. An index is then defined from the sum of the energy coefficients of these nodes. By evaluating the index, transient and permanent faults, as well as the secondary arc extinction instant, can be identified. The significant advantage of the proposed algorithm is that it does not need a threshold level and therefore its performance is independent of fault location, line parameters, and operating conditions. Moreover, it can be used in transmission lines with reactor compensation. The proposed method has been successfully tested under a variety of fault conditions on a 400 kV overhead line of the Iranian National Grid using the Electro-Magnetic Transient Program (EMTP). The test results validated the algorithm’s ability in distinguishing between transient arcing and permanent faults and determining the instant of secondary arc extinction.
[1]Aggarwal, R.K., Johns, A.T., Song, Y.H., Dunn, R.W., Fitton, D.S., 1994. Neural-network based adaptive single-pole autoreclosure technique for EHV transmission systems. IEE Proc.-Gener. Transm. Distr., 141(2):155-160.
[2]Ahn, S.P., Kim, C.H., Aggarwal, R.K., Johns, A.T., 2001. An alternative approach to adaptive single pole auto-reclosing in high voltage transmission systems based on variable dead time control. IEEE Trans. Power Del., 16(4):676-686.
[3]Bo, Z.Q., Aggarwal, R.K., Johns, A.T., 1997. A Novel Technique to Distinguish Between Transient and Permanent Fault Based on Detection of Current Transients. Proc. 4th Int. Conf. on Advances in Power System Control and Management, p.216-220.
[4]Bowler, C.E.J., Brown, P.G., Walker, D.N., 1980. Evaluation of the effect of power circuit breaker reclosing practices on turbine-generator shafts. IEEE Trans. Power Appar. Syst., 99(5):1764-1779.
[5]Chui, C.K., 1997. Wavelets: a Mathematical Tool for Signal Processing. SIAM, Philadelphia, PA.
[6]Elkalashy, N.I., Darwish, H.A., Taalab, A.M.I., Izzularab, M.A., 2007. An adaptive single pole autoreclosure based on zero sequence power. Electr. Power Syst. Res., 77(5-6):438-446.
[7]Fitton, D.S., Dunn, R.W., Aggarwal, R.K., Johns, A.T., Bennett, A., 1996. Design and implementation of an adapative single pole autoreclosure technique for transmission lines using artificial neural networks. IEEE Trans. Power Del., 11(2):748-755.
[8]Ge, Y., Sui, F., Xiao, Y., 1989. Prediction methods for preventing single-phase reclosing on permanent fault. IEEE Trans. Power Del., 4(1):114-121.
[9]Jamali, S., Parham, A., 2010. New approach to adaptive single pole auto-reclosing of power transmission lines. IET Gener. Transm. Distr., 4(1):115-122.
[10]Johns, A.T., Aggarwal, R.K., Song, Y., 1994. Improved technique for modelling fault arcs on faulted EHV transmission systems. IEE Proc.-Gener. Transm. Distr., 141(2):148-154.
[11]Li, B., Li, Y.L., Sheng, K., Zeng, Z.A., 2004. The study on single-pole adaptive reclosure of EHV transmission lines with the shunt reactor. Proc. CSEE, 24(5):52-56.
[12]Lin, X., Liu, P., 1998. Method of Distinguishing Between Instant and Permanent Faults of Transmission Lines Based on Fuzzy Decision. IEEE Int. Conf. on Energy Management and Power Delivery, 2:445-460.
[13]Lin, X., Liu, H., Weng, H., Lu, W., Liu, P., Bo, Z.Q., 2006. A novel adaptive single-phase reclosure scheme using dual-window transient energy ratio and mathematical morphology. IEEE Trans. Power Del., 21(4):1871-1877.
[14]Lin, X., Liu, H., Weng, H., Liu, P., Wang, B., Bo, Z.Q., 2007. A dual-window transient energy ratio-based adaptive single-phase reclosure criterion for EHV transmission line. IEEE Trans. Power Del., 22(4):2080-2086.
[15]Mallat, S.G., 1999. A Wavelet Tour of Signal Processing (2nd Ed.). Academic Press, San Diego, CA.
[16]Marti, J.R., 1982. Accurate modeling of frequency-dependent transmission lines in electromagnetic transient simulations. IEEE Trans. Power Appar. Syst., 101(1):147-155.
[17]Misiti, M., Misiti, Y., Oppenheim, G., Poggi, J.M., 2007. Wavelet Toolbox 4 User’s Guide. MathWorks Inc.
[18]Pandey, S.K., Satish, L., 1998. Multiresolution signal decomposition: a new tool for fault detection in power transformers during impulse tests. IEEE Trans. Power Del., 13(4):1194-1200.
[19]Power System Relaying Committee Working Group, 1992. Single phase tripping and auto reclosing of transmission lines IEEE committee report. IEEE Trans. Power Del., 7(1):182-192.
[20]Prikler, L., Kizilcay, M., Ban, G., Handl, P., 2002. Improved Secondary Arc Models Based on Identification of Arc Parameters from Staged Fault Test Records. Proc. 14th Power Systems Computation Conf., p.1-7.
[21]Radojevic, Z.M., Shin, J.R., 2007. New digital algorithm for adaptive reclosing based on the calculation of the faulted phase voltage total harmonic distortion factor. IEEE Trans. Power Del., 22(1):37-41.
[22]Saleh, S.A., Rahman, M.A., 2005. Modeling and protection of a three-phase power transformer using wavelet packet transform. IEEE Trans. Power Del., 20(2):1273-1282.
[23]Yu, I.K., Song, Y.H., 1998. Wavelet transform and neural network approach to developing adaptive single-pole auto-reclosing schemes for EHV transmission systems. IEEE Power Eng. Rev., 18(11):62-64.
[24]Zhuang, Y., Baras, J.S., 1994. Optimal wavelet basis selection for signal representation. SPIE, 2242:200-211.
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