PMU-Based Estimation of Dynamic State Jacobian Matrix and Dynamic System State Matrix in Ambient Conditions
For power system operators, it provides a near real-time approach to detect topology changes and monitor stability using PMU measurements, though it is an incremental improvement over existing methods.
This paper proposes a hybrid measurement- and model-based method to estimate the dynamic state Jacobian matrix and dynamic system state matrix in near real-time using PMU data, enabling detection of unmodeled network topology changes and online dynamic stability monitoring.
In this paper, a hybrid measurement- and model-based method is proposed which can estimate the dynamic state Jacobian matrix and the dynamic system state matrix in near real-time utilizing statistical properties extracted from PMU measurements. The proposed method can be used to detect and identify network topology changes that have not been reflected in an assumed network model. Additionally, an application of the estimated system state matrix in online dynamic stability monitoring is presented.