Preprint Article Version 1 This version is not peer-reviewed

Parameter Identification of Low Frequency Oscillation Based on Fourier Synchrosqueezing Transform

Version 1 : Received: 16 June 2018 / Approved: 18 June 2018 / Online: 18 June 2018 (16:07:35 CEST)

How to cite: wang, W.; Jin, Y.; wang, B.; di, Q.; yu, M. Parameter Identification of Low Frequency Oscillation Based on Fourier Synchrosqueezing Transform. Preprints 2018, 2018060278 (doi: 10.20944/preprints201806.0278.v1). wang, W.; Jin, Y.; wang, B.; di, Q.; yu, M. Parameter Identification of Low Frequency Oscillation Based on Fourier Synchrosqueezing Transform. Preprints 2018, 2018060278 (doi: 10.20944/preprints201806.0278.v1).

Abstract

In this paper, the Fourier-based synchrosqueezing transform (FSST) method is introduced into the power system to realize low frequency oscillation identification. Firstly, the modal components of low frequency oscillation signal are separated by FSST, and calculating the instantaneous parameters including magnitude, frequency and phase of every mode component with Hilbert transform. Then , calculating the damping ration of every modal component based on above parameters and derived the formulas. Thus, it realized effective identification of of modal parameters of low frequency oscillation signal. The experimental results of simulated data and 16-generator system demonstrate the validity and correctness of the FSST method. Comparing with the classical Prony method shows that the FSST method is better in the identification accuracy when the low frequency oscillation signal is polluted by noise. Finally, the effectiveness of the FSST in Actual power grid is verified based on the real data from Sichuan power grid.

Subject Areas

Fourier-based synchrosqueezing transform; low frequency oscillation; instantaneous parameters; damping ratio

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