Study on wavelet transformation detection arithmetic and its actualization technique of transient power quality disturbance based on DSP

Author

Liu, Guiying ; Su, ShiPing ; Lu, Peibing ; Rong, Haizhou ; Zheng, Long

Author_Institution

Electr. & Inf. Eng. Coll., Changsha Univ. of Sci. & Technol., Changsha

fYear

2008

fDate

6-9 April 2008

Firstpage

1641

Lastpage

1645

Abstract

The detection of transient power quality disturbance is a difficulty of power quality detection. Also it is the focus of power quality detection research. A new strategy that wavelet transformation is used on DSP to realize the detection of transient power quality disturbance is mentioned. Disperse wavelet transformation and Mallat arithmetic based on multi-resolution analysis are used in wavelet arithmetic. Db series wavelets are used as wavelet base. Db4 wavelet is used to denoise. High speed DSP is used as the hardware foundation of the transient power quality disturbance detection. The basic principium of the wavelet transformation in transient power quality disturbance detection is mentioned in this article. And its actualization circuits on DSP and the strategy of program are expatiated. The results of the simulation are presented at last.

Keywords

power supply quality; power system faults; wavelet transforms; DSP; Mallat arithmetic; actualization technique; disperse wavelet transformation; power quality detection; transient power quality disturbance; wavelet transformation detection arithmetic; Arithmetic; Continuous wavelet transforms; Digital signal processing; Discrete wavelet transforms; Electromagnetic transients; Frequency; Power quality; Power system simulation; Power system transients; Wavelet analysis; DSP; denoising; detection; sturbance; transient power quality; wavelet transformation;

fLanguage

English

Publisher

ieee

Conference_Titel

Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on

Conference_Location

Nanjuing

Print_ISBN

978-7-900714-13-8

Electronic_ISBN

978-7-900714-13-8

Type

conf

DOI

10.1109/DRPT.2008.4523668

Filename

4523668