DocumentCode
3294819
Title
Research on methods of harmonic detection based on second generation wavelet algorithm
Author
Wang, Yanfang ; Li, Zhiqiang ; Guo, Guangling
Author_Institution
Coll. of Electr. Eng., Henan Univ. of Technol., Zhengzhou, China
fYear
2011
fDate
15-17 April 2011
Firstpage
6090
Lastpage
6093
Abstract
In the power system, it is necessary to real-time detect amplitude and phase of harmonic current in order to compensate for harmonic current. Therefore it is the key of seeking an algorithm by which harmonic current can be quickly and accurately detected in the process of active power filter (APF) compensating for harmonic current. The second generation wavelet algorithm (also called lifting algorithm) is a new construction method that first generation wavelet algorithm is decomposed into finite steps, and the wavelet transform at time or spatial domain can be directly completed through lifting wavelet algorithm. The calculation can be done in-place. In this paper lifting scheme of daubechies 9/7 wavelet filter is applied in the harmonic detection, the analysis of frequency-domain characteristic of harmonic signal is realized, computational complexity is greatly decreased, the running time can be effectively reduced. The second generation wavelet algorithm is used for harmonic signal process by analyzing the basic principle of second generation wavelet algorithm, and the simulation result is compared with the result of first generation wavelet algorithm and the result is satisfactory.
Keywords
active filters; computational complexity; frequency-domain analysis; power harmonic filters; power system harmonics; signal detection; wavelet transforms; active power filter; computational complexity; daubechies wavelet filter; frequency-domain characteristic analysis; harmonic current detection method; harmonic signal process; lifting wavelet algorithm; power system; second generation wavelet algorithm; time domain; wavelet transform; Harmonic analysis; Power harmonic filters; Signal processing algorithms; Wavelet domain; Wavelet transforms; active power filter(APF); harmonic detection; laurent polyphase matrix; lifting algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-8036-4
Type
conf
DOI
10.1109/ICEICE.2011.5778397
Filename
5778397
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