A Real-Time Data Compression & Reconstruction Method Based on Lifting Scheme

Author

Chang-you, Yan ; Jian-fei, Liu ; Xun, Yang Qi

Author_Institution

Key Lab. of Power Syst. Protection & Dynamic Security Monitoring & Control, North China Electr. Power Univ., Beijing

fYear

2006

fDate

21-24 May 2006

Firstpage

863

Lastpage

867

Abstract

In this paper, a novel real time data compression and reconstruction method is proposed to process a large amount of steady state and transient data of power system. Based on the biorthogonality filters group with the linear wavelet (WT) of lifting scheme and Huffman coding approach, the new algorithm is studied and developed. The field data are used to test the method. The results prove that the method is valid with less data processing time and as high as about 9 times of compression ratio. This method is suitable for the real-time compression of mass data recorded continuously by dynamic monitoring devices of electric power system

Keywords

Huffman codes; data compression; power filters; power system transients; wavelet transforms; WT; biorthogonality filters group; coding approach; data compression method; data reconstruction method; dynamic monitoring devices; electric power system; lifting scheme; linear wavelet; Data compression; Data processing; Huffman coding; Nonlinear filters; Power system dynamics; Power system transients; Real time systems; Reconstruction algorithms; Steady-state; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Transmission and Distribution Conference and Exhibition, 2005/2006 IEEE PES

Conference_Location

Dallas, TX

Print_ISBN

0-7803-9194-2

Type

conf

DOI

10.1109/TDC.2006.1668611

Filename

1668611