Embedded zerotree wavelet based data compression for smart grid

Author

Khan, Jahangir ; Bhuiyan, Shoaib ; Murphy, Gail C. ; Arline, Morgan

fYear

2013

fDate

6-11 Oct. 2013

Firstpage

1

Lastpage

8

Abstract

In this paper, an embedded zerotree wavelet transform (EZWT) based technique is employed for the data compression in the smart grid (SG). The EZWT is a simple but effective data compression algorithm. It yields fully embedded code by generating the bits in order of importance. This technique does not need any training, pre-stored tables or codebooks, and prior knowledge of the data source. In this paper, the analysis and subsequent compression properties of the EZWT transform are examined for power system signals in SG. The proposed approach is evaluated using a set of simulated phasor measurement unit (PMU) data. Comparative compression results are presented with the wavelet transform (WT).

Keywords

codes; data compression; embedded systems; phasor measurement; smart power grids; wavelet transforms; EZWT technique; PMU; SG; bit generation; data compression algorithm; data source knowledge; embedded code book; embedded zerotree wavelet transform technique; power system signal; pre-stored table; simulated phasor measurement unit; smart grid; Decoding; Filtering; Smart grids; Wavelet transforms; Compression; embedded; smart grid; wavelet transform; zerotree;

fLanguage

English

Publisher

ieee

Conference_Titel

Industry Applications Society Annual Meeting, 2013 IEEE

Conference_Location

Lake Buena Vista, FL

ISSN

0197-2618

Type

conf

DOI

10.1109/IAS.2013.6682511

Filename

6682511