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

Author(s)
Wang, Xiaozhe; Bialek, Janusz W.; Turitsyn, Konstantin
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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 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.
Date issued
2018-01
URI
https://hdl.handle.net/1721.1/155097
Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Journal
IEEE Transactions on Power Systems
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
X. Wang, J. W. Bialek and K. Turitsyn, "PMU-Based Estimation of Dynamic State Jacobian Matrix and Dynamic System State Matrix in Ambient Conditions," in IEEE Transactions on Power Systems, vol. 33, no. 1, pp. 681-690, Jan. 2018.
Version: Author's final manuscript
ISSN
0885-8950
1558-0679
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