Signal Selection for Oscillation Monitoring with Guarantees on Data Recovery under Corruption

Kaustav Chatterjee, Nilanjan Ray Chaudhuri, George Stefopoulos

Research output: Contribution to journalArticlepeer-review

9 Scopus citations


Insights are developed into grouping PMU signals for guaranteeing data recovery under sparse corruption. Analytical relations are derived to express the denseness of the subspace spanned by a measurement window in terms of the modal observabilities of its constituent signals. It is shown that grouping signals by minimizing variation in phase angles and amplitudes of observabilities for each poorly-damped mode minimizes the numerical-rank of the measurement window, enhances denseness of the subspace, and helps in attaining the sufficiency condition guaranteeing exact recovery using Robust Principal Component Analysis-based signal reconstruction methods. These insights are structured into lemmas and propositions for signal selection and are validated on synthetic data from IEEE test systems, as well as field PMU data from a US utility.

Original languageEnglish (US)
Article number9089353
Pages (from-to)4723-4733
Number of pages11
JournalIEEE Transactions on Power Systems
Issue number6
StatePublished - Nov 2020

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering


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