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A novel method for analyzing dominant oscillation mode based on improved EMD and signal energy algorithm

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Abstract

In this paper, a novel method that integrates the improved empirical mode decomposition (EMD) and signal energy algorithm is proposed to estimate the dominant oscillation parameters and corresponding mode shape. Firstly, the EMD with symmetrical extrema extension (SEE) is utilized to decompose the measured data from wide area measurement system (WAMS) into a finite set of intrinsic mode functions (IMFs). Then, the signal energy algorithm is used to calculate the approximate oscillation parameters of the IMFs. The nodes involved the dominant oscillation mode are classified based on the calculated frequency and reasonable threshold. Furthermore, for the dominant oscillation mode, the IMF with maximum mean amplitude is defined as the reference. Next, the relative phases (RPs) between the reference IMF and other IMFs are calculated in order to identify the negative and positive oscillation groups. According to the values of RPs, the coherent group and corresponding node contribution factor (NCF) can be identified, and the dominant approximate mode shape (AMS) can also be determined. The efficiency of the proposed approach is tested by applying it to synthetic signal and measured data from the simulation model.

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Authors and Affiliations

  1. Institute of Power Systems and Power Economics, TU-Dortmund, 44227, Dortmund, Germany

    DeChang Yang, C. Rehtanz & Yong Li

  2. College of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, China

    Wei Tang

Authors
  1. DeChang Yang
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  2. C. Rehtanz
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  3. Yong Li
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  4. Wei Tang
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Correspondence to DeChang Yang.

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Yang, D., Rehtanz, C., Li, Y. et al. A novel method for analyzing dominant oscillation mode based on improved EMD and signal energy algorithm. Sci. China Technol. Sci. 54, 2493–2500 (2011). https://doi.org/10.1007/s11431-011-4497-7

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  • DOI: https://doi.org/10.1007/s11431-011-4497-7

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