Ambient PMU Data Based System Oscillation Analysis Using Multivariate Empirical Mode Decomposition
Signal Processing
2021-03-03 v2 Systems and Control
Systems and Control
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.
Cite
@article{arxiv.2101.05203,
title = {Ambient PMU Data Based System Oscillation Analysis Using Multivariate Empirical Mode Decomposition},
author = {Shutang You},
journal= {arXiv preprint arXiv:2101.05203},
year = {2021}
}
Comments
16 pages, 16 figures, 6 tables