Research on Voltage Fluctuation and Flicker Extraction Method Based on Null Space Pursuit Algorithm

Article Preview

Abstract:

In order to obtain more accurate and rapid voltage fluctuations and flicker signal and provide fast and accurate data for power quality analysis and improvement, this paper proposes the improvement measures of null space pursuit algorithm based on the analysis of the principle of null space pursuit algorithm, which improves the value of practical application. By the simulation analysis, it proves that the combined null space pursuit algorithm not only has the same advantage of high precision extraction and decent noise reduction capabilities as original algorithm but also improves its computing speed and enhances its practical value.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

2383-2385

Citation:

Online since:

September 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Xu Yuanyuan. Research on Detection Methods of Voltage Fluctuation and Flicker[D]. North China Electric Power University, (2012).

Google Scholar

[2] Silong Peng, WL Hwang. Adaptive Signal Decomposition Based on Local Narrow Band Signal[J]. IEEE Transactions on Signal Processing, 2008, 56(7): 2669-2676.

DOI: 10.1109/tsp.2008.917360

Google Scholar

[3] Silong Peng, Wen-liang Hwang. Null Space Pursuit: An Operator-based Approach to Adaptive Signal Separation[J]. IEEE Transactions on Signal processing, 2010, 58 (5): 2475-2483.

DOI: 10.1109/tsp.2010.2041606

Google Scholar

[4] Hu X, Silong Peng, W L Hwang. Operator based multi component AM-FM signal separation approach[C]. IEEE International workshop on Machine Learning for signal Processing (MLSP), 2011: 1-6.

DOI: 10.1109/mlsp.2011.6064592

Google Scholar

[5] Huang NE et al. The empirical mode decomposition and Hilbert spectrum for non linear and non-stationary time series analysis[C]. Proc.R. Soc. Lond, 988: 903-995.

Google Scholar