Application of VARPRO to Ambient Mode Estimation

PI:

Project Status:

Current

Research into the application of a VARPRO-based approach to modal analysis of ambient data from the power grid may improve on existing methods to estimate system damping. This would increase situational awareness of potential system instabilities. Initial exploratory work has involved a first pass at recently acquired data, which shows promising results that warrant further investigation. Direct application of VARPRO curve-fitting provides excellent results compared to brake-test ringdown. The research will need to address practical issues with automating the algorithm with a goal of real-time implementation.

Related Publications

Roy, Sandip, and Bernard Lesieutre. "A sample-autocorrelation-based approach for monitoring power-system damping from ambient synchrophasor data." 2017 North American Power Symposium (NAPS). Morgantown, WV: IEEE, 2017.

Lesieutre, Bernard C, and Sandip Roy. "A system response persistence measure for use in ambient data monitoring." 2017 North American Power Symposium (NAPS). Morgantown, WV: IEEE, 2017.

Lesieutre, Bernard C, and Sandip Roy. "Calculating and calibrating a persistence measure for use in monitoring power system vulnerability." 2017 55th Annual Allerton Conference on Communication, Control, and Computing (Allerton). Monticello, IL, USA: IEEE, 2017.

Molzahn, Daniel K, Jesse T Holzer, Bernard C Lesieutre, and Christopher L DeMarco. "Implementation of a Large-Scale Optimal Power Flow Solver Based on Semidefinite Programming." IEEE Transactions on Power Systems 28.4 (2013) 3987 - 3998.