Low Frequency Oscillation Mode Identification Algorithm Based on VMD Noise Reduction and Stochastic Subspace Method

Low-frequency oscillation (LFO) is a security and stability issue that the power system focuses on, measurement data play an important role in online monitoring and analysis of low-frequency oscillation parameters. Aiming at the problem that the measurement data containing noise affects the accuracy...

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Bibliographic Details
Published in2022 Power System and Green Energy Conference (PSGEC) pp. 848 - 852
Main Authors Zhang, Yanjun, Zhao, Peng, Han, Ziyang, Yang, Luyu, Chen, Junrui
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2022
Subjects
low-frequency oscillation
Noise measurement
Noise reduction
Power measurement
Power system stability
Simulation
Stability analysis
stochastic subspace identification algorithm
variational mode decomposition
White noise
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DOI10.1109/PSGEC54663.2022.9881194

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Summary:Low-frequency oscillation (LFO) is a security and stability issue that the power system focuses on, measurement data play an important role in online monitoring and analysis of low-frequency oscillation parameters. Aiming at the problem that the measurement data containing noise affects the accuracy of modal parameter identification, a VMD-SSI modal identification algorithm is proposed, which uses the variational modal decomposition algorithm (VMD) for noise reduction combined with the stochastic subspace algorithm for identification. The VMD algorithm decomposes and reconstructs the initial signal with certain noise, and filters out the noise signal. Then, the optimized signal is input into stochastic subspace identification algorithm(SSI), the modal parameters is obtained. Simulation of a three-machine ninenode system verifies that the VMD-SSI mode identification algorithm has good anti-noise performance.
DOI:10.1109/PSGEC54663.2022.9881194