• 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