Paper Title:
Power Quality Disturbance Research of Grid-Connected Wind Generation Based on Fractional Fourier Transform with Wavelet Entropy
  Abstract

In the process of connected wind generation with the power grid, the classification and recognition of power quality disturbance signals which are researched by the scholars at home and abroad are always the hot issues in Power System. A new method using Fractional Fourier Transform (FRFT) with Wavelet Entropy is presented for recognizing the signals of PQ disturbance based on the characteristics of power quality (PQ) signals. FRFT have better time-frequency aggregation and can choose better domain instead of and make PQ disturbance recognize more accurately with wavelet entropy. Simulation results demonstrate its effectiveness.

  Info
Periodical
Edited by
Han Zhao
Pages
1600-1604
DOI
10.4028/www.scientific.net/AMM.130-134.1600
Citation
H. L. Chen, Y. L. Sun, "Power Quality Disturbance Research of Grid-Connected Wind Generation Based on Fractional Fourier Transform with Wavelet Entropy", Applied Mechanics and Materials, Vols. 130-134, pp. 1600-1604, 2012
Online since
October 2011
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