JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Power Signal Monitering System with Compression Storage and Reconstruction
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Power Signal Monitering System with Compression Storage and Reconstruction
Bae, Hyeon-Deok;
  PDF(new window)
 Abstract
In recent year, the interests of PQ is increase due to the increasing of non-linear load and distributed power sources in power system. For the parameters detection and feature extraction of PQ, and the PQ improvement method, continuous power signal monitering is needed. In this paper, the power signal compression and reconstruction method is suggested for power signal monitering. The power signal is compressed using DCT that has good compression performance, and the compressed signal is reconstructed through IDCT. And for the higher compression rate, DCT coefficients are arranged by magnitude in compression process, and in recouction process DCT coefficients are rearranged to original frequency position. The synthesized signal according to the IEC standard is used used in compression and reconstruction simulations. The performances of the proposed method are verified by comparing the error between synthesized signal and reconstructed signal.
 Keywords
Power quality;Compression;DCT;IDCT;Reconstruction error;
 Language
Korean
 Cited by
 References
1.
Math H.J.Bollen and Irene Y.H.Gu, Signal Processing of Power Quality Disturbances, Piscataway, NJ, IEEE Press, 2006.

2.
Math H.J.Bollen, Irene Y.H.Gu, S.Santoso etc, "Bridging the Gap between Signal and Power," IEEE Signal Processing Mag., vol. 26, no., 4 pp.12-31, Jul. 2009.

3.
S.Santoso, Fundamental of Electric Power Quality, Summer 2010 ed., Surya Santoso, 2010.

4.
Tomas Radil, P.M.Ramos, F.M.Janeiro and A.Cruz Serra,"PQ Monitering System for Real-Time Detection and Classification of Disturbances in Single-Phase Power System," Pro. of IEEE Instrumentation and Measurement Technology Conferences, pp.1-4, Warsaw Poland, May 2007.

5.
H.H.Chang, K-L Lian, Y-C Su, and Wei-Jen Lee,"Power-Spectrum-Based Wavelet Transform for Nonintrusive Demand Monitering and Load Identification," IEEE Trans. on Industrial Applications, vol.50, no.3, pp.2081-2089, Mar. 2014. crossref(new window)

6.
M.A.S.Masoum, S.Jamali and N.Ghaffarzadeh, "Detection and Classification of Power Quality Disturbances using Discrete Wavelet Transform and Wavelet Network," IET Sci. Meas. Technol. vol.4, iss.4, pp.193-205, Apr.2010. crossref(new window)

7.
International Standard IEC 61000-3-6

8.
A.V.Oppenheim and R.W.Shafer, Discrete-Time Signal Processing, 3rd ed., Upper Saddle River, NJ, Person 2010.

9.
K.R.Rao, Discrete Cosine Transform, San Diego, CA, Academic Press, 1990.

10.
S.W.Sohn, Y.B.Lim, J.Y.Yun, H.Choi and H.D.Bae,"A Filter Bank and a Self-Tuning Adaptive Filter for the Harmonic and Interharmonic Estimation in Power Signals," IEEE Transsaction on Instrumentation and Measurement, vol.61, no.1, pp.64-73, Jan. 2012. crossref(new window)

11.
Submitted Korean Patent, No. 10-2014-0193976.