Research Highlights
PMU Data Analytics by Exploiting Low-dimensional Structures
By Dr. Meng Wang and Dr. Joe H. Chow
Two thousand multi-channel phasor measurement units (PMU) have now been installed North America.
PMUs can directly measure bus voltage phasors and line current phasors at synchronized time instants.
With data rates of 30 or 60 samples per second, these PMUs produce terabytes of data daily, offering dy-
namic visibility into the power system.
As the coverage of PMUs in power systems becomes denser, it is natural to collect data from PMUs in
electrically close areas over a certain period of time and process this spatial-temporal blocks of PMU simul-
taneously. Interestingly, the PMU data block exhibits low-dimensional structures despite its high ambient
dimension. The low-dimensional structure can be exploited to enable and simplify a variety of PMU data
management tasks such as data compression, error correction, and feature extraction. We have obtained
promising results on missing data recovery, detection of cyber data attacks, enhance PMU data privacy,
and identify system events.
Figure 1: Block diagram of the proposed method
Figure 2: Dictionary construction from recorded PMU datasets. Events are characterized by presentative subspaces
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CURENT Newsletter
Spring 2017