On the use of continuous-wavelet transform for fault location in distribution power systems

The paper illustrates a procedure based on the continuous-wavelet transform (CWT) for the analysis of voltage transients due to line faults, and discusses its application to fault location in power distribution systems. The analysis carried out shows that correlation exists between typical frequencies of the CWT-transformed signals and specific paths in the network covered by the traveling waves originated by the fault. The paper presents a procedure for determining fault location in MV distribution systems, which exploits the above-mentioned correlation. The MV distribution system analysed in the paper is accurately represented by means of an EMTP model; various fault types and network characteristics are examined. The paper presents also the basic concepts of a measurement and fault location prototype system with distributed architecture. © 2006 Elsevier Ltd. All rights reserved.

Published in:
International Journal of Electrical Power and Energy Systems, 28, 9 SPEC. ISS., 608-617
Department of Electrical Engineering, University of Bologna, viale Risorgimento, 2, 40136 Bologna, Italy CESI, Milan, Italy, Cited By (since 1996): 14, Export Date: 25 April 2012, Source: Scopus, CODEN: IEPSD, doi: 10.1016/j.ijepes.2006.03.001, Language of Original Document: English, Correspondence Address: Nucci, C.A.; Department of Electrical Engineering, University of Bologna, viale Risorgimento, 2, 40136 Bologna, Italy; email: carloalberto.nucci@unibo.it, References: Chaari, O., Meunier, M., Brouaye, F., Wavelets: a new tool for the resonant grounded power distribution systems relaying (1996) IEEE Trans Power Delivery, 11-3 (July), pp. 1301-1308; Magnago, F.H., Abur, A., Fault location using wave-lets (1998) IEEE Trans Power Delivery, 13-4 (October), pp. 1475-1480; Hanninen, S., Lehtonen, M., Hakola, T., Rantanen, R., (1999) Proc PSCC'99, , Trondheim, Norway; Nouri, H., Wang, C., Davies, T., An accurate fault location technique for distribution lines with tapped loads using wavelet transform (2001) Proc 2001 IEEE Power Tech Porto, 3 (Sept), pp. 10-13; Angrisani, L., Daponte, P., D'Apuzzo, M., Wavelet network-based detection and classification of transients (2001) IEEE Trans Instrum Meas, 50-5 (October), pp. 1425-1435; Goupillaud, P., Grossmann, A., Morlet, J., Cycle-octave and related transforms in seismic signal analysis (1984) Geoexploration, 23, pp. 85-102; Daubechies, I., The wavelet transform, time-frequency localization and signal analysis (1990) IEEE Trans Inf Theory, 36 (9), pp. 961-1005; Daubechies, I., Orthonormal bases of compactly supported wavelets (1988) Commun Pure Appl Math, XLI, pp. 909-996; Mallat, S.G., A theory for multiresolution signal decomposition: The wavelet representation (1989) IEEE Trans PAMI, 11 (7), pp. 674-693; Mallat, S.G., Multifrequency channel decompositions of images and wavelet models (1989) IEEE Trans Acoust Speech Signal Process, 37 (12), pp. 2091-2110; Rioul, O., Vetterli, M., Wavelets and signal processing (1991) IEEE Signal Process Mag, (October), pp. 14-38; Mahseredjian, J., Dubé, L., Gérin-Lajoie, L., New advances in the simulation of transients with EMTP: Computation and visualization techniques (2002) Electrimacs, 19 (August); Clarke, E., (1943) Circuit analysis of AC power systems, 1. , John Wiley & Sons, New York; Dommel, H.W., Digital computer solution of electromagnetic transients in single and multi-phase networks (1969) IEEE Trans Power Apparatus Syst, PAS-88 (April), pp. 388-399; Marti, J., Accurate modelling of frequency dependent transmission lines in electromagnetic transient simulations (1982) IEEE Trans Power Apparatus Syst, PAS-101, pp. 147-157
Other identifiers:
Scopus: 2-s2.0-33748806294

 Record created 2012-05-01, last modified 2018-04-20

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