Title: WAMS-Based Mode Meters With Guarantees On Data Recovery Under Corruption
Date: April 26, 2021
Bio: Nilanjan Ray Chaudhuri received his Ph.D. degree from Imperial College London, London, UK in 2011 in
Power Systems. From 2005-2007, he worked in General Electric (GE) John F. Welch Technology Center. He came
back to GE and worked in GE Global Research Center, NY, USA as a Lead Engineer during 2011-2014. Presently,
he is an Associate Professor with the School of Electrical Engineering and Computer Science at Penn State, University
Park, PA. He was an Assistant Professor with North Dakota State University, Fargo, ND, USA during 2014-2016. He
is a member of the IEEE and IEEE PES. Dr. Ray Chaudhuri is the lead author of the book Multi-terminal Direct
Current Grids: Modeling, Analysis, and Control (Wiley/IEEE Press, 2014), and served as an Associate Editor of the
IEEE TRANSACTIONS ON POWER DELIVERY (2013 - 2019) and IEEE PES LETTERS (2016 - present). Dr.
Ray Chaudhuri was the recipient of the National Science Foundation Early Faculty CAREER Award in 2016 and Joel
and Ruth Spira Excellence in Teaching Award in 2019.
Abstract: In this talk, the speaker will focus on data anomaly issues, stemming from cyber-attacks or otherwise, during
wide-area monitoring of power grids. Particular attention will be focused on mode-metering application of PMU data.
First, the application of robust principal component analysis (R-PCA) for sparse anomaly detection and correction in
PMU data will be introduced, which builds on the theory of compressive sensing. Next, insights will be developed into
grouping PMU signals for guaranteeing data recovery under sparse corruption. Analytical relations will be derived to
express the denseness of the subspace spanned by a measurement window in terms of the modal observabilities of its
constituent signals. These insights will be validated on synthetic data from IEEE test systems, as well as field PMU data
from a US utility.