A Bayesian Approach to Forced Oscillation Source Location Given Uncertain Generator Parameters
Name
Chevalier2018he.pdf
Description
Accepted version
Size
2.35 MB
Format
Adobe PDF
Checksum (MD5)
764e00694ee6674ebcf3c3e7f50654e1
Author(s)
Chevalier, Samuel
Vorobev, Petr
Turitsyn, Konstantin
Date Issued
March 2019
Journal
IEEE Transactions on Power Systems
Publisher
Institute of Electrical and Electronics Engineers
Citation
S. Chevalier, P. Vorobev and K. Turitsyn, "A Bayesian Approach to Forced Oscillation Source Location Given Uncertain Generator Parameters," in IEEE Transactions on Power Systems, vol. 34, no. 2, pp. 1641-1649, March 2019.
Version
Author's final manuscript
Abstract
Since forced oscillations are exogenous to dynamic power system models, the models by themselves cannot predict when or where a forced oscillation will occur. Locating the sources of these oscillations, therefore, is a challenging problem which requires analytical methods capable of using real time power system data to trace an observed oscillation back to its source. The difficulty of this problem is exacerbated by the fact that the parameters associated with a given power system model can range from slightly uncertain to entirely unknown. In this paper, a Bayesian framework, via a two-stage maximum a posteriori optimization routine, is employed in order to locate the most probable source of a forced oscillation given an uncertain prior model. The approach leverages an equivalent circuit representation of the system in the frequency domain and employs a numerical procedure, which makes the problem suitable for real time application. The derived framework lends itself to successful performance in the presence of phasor measurement unit measurement noise, high generator parameter uncertainty, and multiple forced oscillations occurring simultaneously. The approach is tested on a four-bus system with a single forced oscillation source and on the WECC 179-bus system with multiple oscillation sources.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/tpwrs.2018.2879222
