This project is demonstrating full-scale, on-line and off-line software prototype tools with Entergy, WECC, and Peak RC that detect and analyze system oscillations from either ambient or disturbed system PMU measurements. In contrast to other tools, these prototypes are capable of simultaneously processing hundreds of PMU measurements-rather than only a handful. Therefore, they can estimate oscillation characteristics such as the frequency, damping ratio, energy and mode shape of both local and inter-area oscillations across the wide-area power system. And they are more robust to routine data problems that may be associated with individual PMU measurements.
Development and Testing of Oscillation Monitoring System (OMS)
"Recursive Frequency Domain Decomposition for Multidimensional Ambient Modal Estimation." IEEE Transactions on Power Systems 32.1 (2017) 822 - 823. .
"Subsynchronous Resonance Monitoring Using Ambient High Speed Sensor Data." IEEE Transactions on Power Systems 31.2 (2016) 1073 - 1083. .
"Fast Frequency-Domain Decomposition for Ambient Oscillation Monitoring." IEEE Transactions on Power Delivery (2015) 1 - 1. .
"Fast SVD Computations for Synchrophasor Algorithms." IEEE Transactions on Power Systems (2015) 1 - 2. .
"Inter-Area Resonance in Power Systems From Forced Oscillations." IEEE Transactions on Power Systems (2015) 1 - 9. .
"Modal Analysis of Ambient PMU Measurements Using Orthogonal Wavelet Bases." IEEE Transactions on Smart Grid (2015) 1 - 1. .
"Electromechanical Mode Estimation Using Recursive Adaptive Stochastic Subspace Identification." IEEE Transactions on Power Systems 29.1 (2014) 349 - 358. .
"Two-Level Ambient Oscillation Modal Estimation From Synchrophasor Measurements." IEEE Transactions on Power Systems (2014) 1 - 10. .
"Oscillation modal analysis from ambient synchrophasor data using distributed frequency domain optimization." IEEE Transactions on Power Systems 28.2 (2013) 1960 - 1968. .