22 citations · 30 across the 23 of their papers we have counts for
4 papers · 1 filter
Interpolatory Approximations of PMU Data: Dimension Reduction and Pilot Selection
Sean Reiter, Mark Embree, Serkan Gugercin +1
This work investigates the reduction of phasor measurement unit (PMU) data through low-rank matrix approximations. To reconstruct a PMU data matrix from fewer measurements, we prop…
Structure-Preserving Model Reduction for Nonlinear Power Grid Network
Bita Safaee, Serkan Gugercin
We develop a structure-preserving system-theoretic model reduction framework for nonlinear power grid networks. First, via a lifting transformation, we convert the original nonline…
Data-driven modeling of power networks
Bita Safaee, Serkan Gugercin
We develop a non-intrusive data-driven modeling framework for power network dynamics using the Lift and Learn approach of \cite{QianWillcox2020}. A lifting map is applied to the sn…
Structure-preserving Model Reduction of Parametric Power Networks
Bita Safaee, Serkan Gugercin
We develop a structure-preserving parametric model reduction approach for linearized swing equations where parametrization corresponds to variations in operating conditions. We emp…