# PMU-Based Estimation of Dynamic State Jacobian Matrix and Dynamic System State Matrix in Ambient Conditions

## TL;DR

This paper introduces a hybrid measurement-model approach to estimate the dynamic state Jacobian and system matrices in real-time using PMU data, aiding in topology change detection and stability monitoring.

## Contribution

It presents a novel method combining measurements and models to estimate system matrices in near real-time, enhancing grid monitoring capabilities.

## Key findings

- Effective detection of topology changes.
- Real-time estimation of system matrices.
- Application in online stability monitoring.

## Abstract

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.