The goal of the project is to develop techniques that will allow detection and correction of relay misoperations in electric grids. The work from NDSU in (2017-2018): 1) advanced the concept of energy function traces to detect disturbance events in power systems including: temporary and permanent line faults, load loss and excitation failures 2) developed SVD/PCA methods to determine the sensitivity and accuracy of energy-based methods.

This poster presents a method for detecting and correcting malicious data corruptions in PMU measurements. Detection of malicious injections is formulated as a compressed sensing problem and the actual signals are recovered using an online robust PCA-based algorithm. Different patterns of malicious injection attacks on PMU data are considered and the effect of corruption and reconstruction using the algorithm is analyzed on wide-area mode metering application. The performance of the proposed algorithm has been evaluated with different subspace selection.

The overarching goal is to employ a Wide-Area measurement-aided supervisory layer for correcting maloperation in relays, which can prevent system-wide blackouts. PSU’s task in this project is to ensure distinction between disturbance outlier and anomalous outlier in such Wide-Area measurements. This poster presents a Principal Component Analysis (PCA)-based method for online characterization of outliers in Wide-Area synchrophasor measurements. To that end, a linearized framework is established to analyze dynamical response from a system under nominal and off-nominal (e.g.