Abstract:
This paper introduces a new online voltage disturbance detection approach based on the wavelet transform. The proposed approach: (1) identifies voltage disturbances; and ...Show MoreMetadata
Abstract:
This paper introduces a new online voltage disturbance detection approach based on the wavelet transform. The proposed approach: (1) identifies voltage disturbances; and (2) discriminates the type of event which has resulted in the voltage disturbance, e.g. either a fault or a capacitor-switching incident. The proposed approach is: (1) significantly faster; and (2) more precise in discriminating the type of transient event than conventional voltage-based disturbance detection approaches. The feasibility of the proposed disturbance detection approach is demonstrated based on digital time-domain simulation of a power distribution system using the PSCAD/EMTDC software package.
Published in: IEEE Transactions on Power Delivery ( Volume: 15, Issue: 4, October 2000)
DOI: 10.1109/61.891505
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1.
H. Mokhtari, M. Karimi and M. R. Iravani, Experimental Performance Evaluation of a Wavelet-Based On-Line Voltage Detection Method for Power Quality Applications.
2.
M. Karimi, S. Gazor and G. R. Askari, "Design and implementation of an adaptive active voltage/current filter", Proceeding of ICSPAT International Conference on Signal Processing Applications and Technology, 1998-Sept.
3.
M. Karimi, G. R. Askari and S. Gazor, "Periodic orbits of two filter dynamics", Proceeding of the Second Conference on Differential Equations Dynamical Systems and Applications, 1998-May.
4.
D. C. Robertson and O. I. Camps, "Wavelets and electromagnetic power system transients", IEEE Trans. on Power Delivery, vol. 11, no. 2, pp. 1050-1058, Apr. 1996.
5.
D. C. Robertson and O. I. Camps, "Wavelets and power system transients: Feature detection and classification", SPIE International Symposium on Optical Engineering in Aerospace Sensing, vol. 2242, pp. 474-487, 1994-Apr.
6.
S. Santoso and P. Hofmann, "Power quality assessment via wavelet transform analysis", IEEE Trans. on Power Delivery, vol. 11, no. 2, pp. 924-930, Apr. 1996.
7.
S. Santoso, E. J. Powers and W. M. Grady, "Power quality disturbance data compression using wavelet transform methods", IEEE Trans. on Power Delivery, vol. 12, no. 3, pp. 1250-1256, July 1997.
8.
S. J. Huang, C. T. Hsieh and C. L. Huang, "Application of Morlet wavelets to supervises power system disturbances", IEEE Trans. on Power Delivery, vol. 14, no. 1, pp. 235-243, Jan. 1999.
9.
T. K. Sarkar and C. Su, "A tutorial on wavelets from an electrical engineering perspective part II: The continuous case", IEEE Antennas and Propagation Magazine, vol. 40, no. 6, pp. 36-49, Dec. 1998.
10.
G. T. Heydt and A. W. Galli, "Transient power quality problems analyzed using wavelets", IEEE Trans. on Power Delivery, vol. 12, no. 2, pp. 908-915, Apr. 1997.
11.
S. G. Mallat, "A theory for multiresolution signal decomposition: The wavelet representation", IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 11, no. 7, pp. 674-693, July 1989.
12.
K. Fukunaga, Introduction to Statistical Pattern Recognition, CA, San Diego:Academic Press, 1990.
13.
C. E. McCoy and B. L. Floryancic, "Characteristics and measurement of capacitor switching at medium voltage distribution level", IEEE Trans. on Industry Applications, vol. 30, no. 6, pp. 1480-1489, Nov. 1994.
14.
PSCAD/EMTDC Power Systems Simulation Software Manual, Manitoba HVDC Research Center.
15.
I. Daubeshies, Ten Lectures on Wavelets, Pennsylvania, Philadelphia, 1992.
16.
G. Strang and T. Nguyen, Wavelets and Filter Banks, Wellesley-Cambridge Press, 1997.
17.
K. Fukunaga and T. E. Flick, "A test of the Gaussian-ness of a data set using clustering", IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 8, no. 2, pp. 240-247, Mar. 1986.
