PMU-based estimation of dynamic state Jacobian matrix
Name
1510.07603v1.pdf
Description
Accepted version
Size
1.18 MB
Format
Adobe PDF
Checksum (MD5)
2288abf1b06eba5aaef1a2b34c731a87
Author(s)
Wang, Xiaozhe
Turitsyn, Konstantin
Date Issued
May 2017
Publisher
IEEE
Citation
X. Wang and K. Turitsyn, "PMU-based estimation of dynamic state Jacobian matrix," 2017 IEEE International Symposium on Circuits and Systems (ISCAS), Baltimore, MD, USA, 2017.
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 in near real-time. The proposed method is computationally efficient and robust to the variation of network topology. Since the estimated Jacobian matrix carries significant information on system dynamics and states, it can be utilized in various applications. In particular, two application of the estimated Jacobian matrix in online oscillation analysis, stability monitoring and control are illustrated with numerical examples. In addition, a side-product of the proposed method can facilitate model validation by approximating the damping of generators.
Description
2017 IEEE International Symposium on Circuits and Systems (ISCAS), Baltimore MD USA
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/iscas.2017.8050926
