Title :
Embedded-Zerotree-Wavelet-Based Data Denoising and Compression for Smart Grid
Author :
Khan, Jesmin ; Bhuiyan, Sharif M. A. ; Murphy, Gregory ; Arline, Morgan
Author_Institution :
Dept. of Electr. Eng., Tuskegee Univ., Tuskegee, AL, USA
Abstract :
In this paper, an embedded zerotree wavelet transform (EZWT)-based technique is employed for the data denoising and compression in the smart grid (SG). The EZWT is a simple but effective data compression algorithm. This technique does not need any training, prestored tables or codebooks, and prior knowledge of the data source. In this paper, the analysis and subsequent compression and denoising properties of the EZWT are examined for power system signals in SG. The proposed approach is evaluated using phasor measurement units and power system data. Experimental results demonstrate that the presented method both compresses the signal and depresses the noise contained in the signal. Comparative compression and noise removal results are presented with the wavelet transform.
Keywords :
data compression; embedded systems; phasor measurement; signal denoising; smart power grids; wavelet transforms; EZWT-based technique; comparative compression; data compression; data denoising; embedded zerotree wavelet transform-based technique; noise removal results; phasor measurement units; power system data; power system signals; smart grid; Data compression; Encoding; Noise; Noise reduction; Power systems; Wavelet transforms; Zirconium; Compression; embedded; smart grid; smart grid (SG); wavelet transform; wavelet transform (WT); zerotree;
Journal_Title :
Industry Applications, IEEE Transactions on
DOI :
10.1109/TIA.2015.2420613