PMU-Based Estimation of Dynamic State Jacobian Matrix and Dynamic System State Matrix in Ambient Conditions
Name
1706.01114v1.pdf
Description
Accepted version
Size
855.55 KB
Format
Adobe PDF
Checksum (MD5)
c4a2700c2e127441342e419d5dba5ddd
Author(s)
Wang, Xiaozhe
Bialek, Janusz W.
Turitsyn, Konstantin
Date Issued
January 2018
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
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.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
Creative Commons Attribution-Noncommercial-ShareAlike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/tpwrs.2017.2712762
