ADAPTIVE TECHNIQUES TO POWER HARMONICS MEASUREMENT AND CONTROL

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Details

In this book, a comprehensive illustration of power system harmonic concept is first introduced for the discussion of total harmonic distortion (THD) and power factor (PF) in power systems. Following a brief review of passive filters and well-known active filters, the fundamental control principle and structure of the proposed adaptive filtering system are then presented. Secondly, an enhanced Fourier coefficient identification (E-FCI) algorithm for simultaneous multiple harmonic identification is developed. Based on this E-FCI, a parametric adaptive filter (voltage-type) that achieves efficient harmonic filtering is developed. Other contributions of this research include the design and implementation of non-parametric adaptive filters based on artificial intelligence topologies. The non-parametric adaptive filters, consisting of a variable voltage-type source controlled by neural network controllers as optimization tools, can generate the correct compensation current to compensate for the unstable line current harmonics under various speed operations of a DC variable- speed drive.

Autorentext

Hsiung-Cheng Lin graduated from National Taiwan Normal University for his bachelor degree in 1986, Taiwan. He received Master and PhD degree from Swinburne University of Technology, Australia in 1995 and 2002, respectively. He is currently a professor in the Department of Electronic Engineering at National Chin-Yi Uni. of Tech., Taiwan.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783843363358
    • Sprache Englisch
    • Genre Maschinenbau
    • Anzahl Seiten 172
    • Größe H220mm x B150mm x T11mm
    • Jahr 2010
    • EAN 9783843363358
    • Format Kartonierter Einband
    • ISBN 3843363358
    • Veröffentlichung 12.10.2010
    • Titel ADAPTIVE TECHNIQUES TO POWER HARMONICS MEASUREMENT AND CONTROL
    • Autor Hsiung Lin
    • Untertitel An enhanced FCI based parametric adaptive filter and intelligent neural network based non-parametric adaptive filters
    • Gewicht 274g
    • Herausgeber LAP LAMBERT Academic Publishing

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