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arXiv · 2101.05203

Ambient PMU Data Based System Oscillation Analysis Using Multivariate Empirical Mode Decomposition

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Abstract

Wide-area synchrophasor ambient measurements provide a valuable data source for real-time oscillation mode monitoring and analysis. This paper introduces a novel method for identifying inter-area oscillation modes using wide-area ambient measurements. Based on multivariate empirical mode decomposition (MEMD), which can analyze multi-channel non-stationary and nonlinear signals, the proposed method is capable of detecting the common oscillation mode that exists in multiple synchrophasor measurements at low amplitudes. Test results based on two real-world datasets validate the effectiveness of the proposed method.

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Shutang You. 2021-01-12. Ambient PMU Data Based System Oscillation Analysis Using Multivariate Empirical Mode Decomposition. https://arxiv.org/abs/2101.05203

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