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arXiv · 1703.03374

PMU-Based Estimation of Dynamic State Jacobian Matrix

Xiaozhe Wang·Konstantin Turitsyn
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Abstract

In this paper, a hybrid measurement- and model-based method is proposed which can estimate the dynamic state Jacobian matrix in near real-time. The proposed method is computationally efficient and robust to the variation of network topology. A numerical example is given to show that the proposed method is able to provide good estimation for the dynamic state Jacobian matrix and is superior to the model-based method under undetectable network topology change. The proposed method may also help identify big discrepancy in the assumed network model.

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Xiaozhe Wang, Konstantin Turitsyn. 2017-03-09. PMU-Based Estimation of Dynamic State Jacobian Matrix. https://arxiv.org/abs/1703.03374

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