PMU-Based Estimation of Dynamic State Jacobian Matrix and Dynamic System State Matrix in Ambient Conditions
Systems and Control
2017-06-07 v1
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.
Keywords
Cite
@article{arxiv.1706.01114,
title = {PMU-Based Estimation of Dynamic State Jacobian Matrix and Dynamic System State Matrix in Ambient Conditions},
author = {Xiaozhe Wang and Janusz Bialek and Konstantin Turitsyn},
journal= {arXiv preprint arXiv:1706.01114},
year = {2017}
}
Comments
To appear in IEEE Transactions on Power Systems