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YI Jian-bo, HUANG Qi, DING Li-jie, ZHANG Hua. Research on EMD Composite Algorithm for Detecting the Low Frequency Oscillations Modes[J]. Journal of University of Electronic Science and Technology of China, 2014, 43(6): 863-868. doi: 10.3969/j.issn.1001-0548.2014.06.012
Citation: YI Jian-bo, HUANG Qi, DING Li-jie, ZHANG Hua. Research on EMD Composite Algorithm for Detecting the Low Frequency Oscillations Modes[J]. Journal of University of Electronic Science and Technology of China, 2014, 43(6): 863-868. doi: 10.3969/j.issn.1001-0548.2014.06.012
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Research on EMD Composite Algorithm for Detecting the Low Frequency Oscillations Modes

doi: 10.3969/j.issn.1001-0548.2014.06.012
  • 1.

    Key Lab of Wide-Area Control and Measurement on Power System of Sichuan Province,University of Electronic Science and Technology of China Chengdu 611731;

  • 2.

    Sichuan Electric Power Research Institute Chengdu 610072

  • Received Date: 2013-03-14
  • Rev Recd Date: 2014-05-26
  • Publish Date: 2014-12-15
  • In this paper, an anti mode mixing empirical mode decomposition (EMD) composite algorithm is proposed. First, the improved frequency heterodyne method is addressed to increase the spectral distance between mode mixing components in order to isolate the octave mode mixing components. Second, the wavelet singularity detection technology is applied to determine the adaptive sliding analysis window for each mode and then implement the intermittent mixing modes separation and their nonstationary parameters identification. In order to verify the validity of the algorithm, a test case and a grid simulation case are used to test and analyze the EMD composite algorithm. The analysis result shows that the proposed algorithm can isolate the mode mixing component effectively. Moreover, for a low frequency oscillation signal with complex modes, the proposed algorithm is able to isolate the corresponding low frequency oscillation mode and has high detection accuracy of oscillation mode information.
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  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

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Research on EMD Composite Algorithm for Detecting the Low Frequency Oscillations Modes

doi: 10.3969/j.issn.1001-0548.2014.06.012
  • 1. Key Lab of Wide-Area Control and Measurement on Power System of Sichuan Province,University of Electronic Science and Technology of China Chengdu 611731;
  • 2. Sichuan Electric Power Research Institute Chengdu 610072
  • Received Date: 2013-03-14
  • Rev Recd Date: 2014-05-26
  • Publish Date: 2014-12-15

Abstract: In this paper, an anti mode mixing empirical mode decomposition (EMD) composite algorithm is proposed. First, the improved frequency heterodyne method is addressed to increase the spectral distance between mode mixing components in order to isolate the octave mode mixing components. Second, the wavelet singularity detection technology is applied to determine the adaptive sliding analysis window for each mode and then implement the intermittent mixing modes separation and their nonstationary parameters identification. In order to verify the validity of the algorithm, a test case and a grid simulation case are used to test and analyze the EMD composite algorithm. The analysis result shows that the proposed algorithm can isolate the mode mixing component effectively. Moreover, for a low frequency oscillation signal with complex modes, the proposed algorithm is able to isolate the corresponding low frequency oscillation mode and has high detection accuracy of oscillation mode information.

YI Jian-bo, HUANG Qi, DING Li-jie, ZHANG Hua. Research on EMD Composite Algorithm for Detecting the Low Frequency Oscillations Modes[J]. Journal of University of Electronic Science and Technology of China, 2014, 43(6): 863-868. doi: 10.3969/j.issn.1001-0548.2014.06.012
Citation: YI Jian-bo, HUANG Qi, DING Li-jie, ZHANG Hua. Research on EMD Composite Algorithm for Detecting the Low Frequency Oscillations Modes[J]. Journal of University of Electronic Science and Technology of China, 2014, 43(6): 863-868. doi: 10.3969/j.issn.1001-0548.2014.06.012
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