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

Shutang You
<span title="2021-03-02">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
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
more &raquo; ... nts at low amplitudes. Test results based on two real-world datasets validate the effectiveness of the proposed method.
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2101.05203v2">arXiv:2101.05203v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/oxcr4xcknnh4noq63blcukxpeq">fatcat:oxcr4xcknnh4noq63blcukxpeq</a> </span>
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