Song Guo
Adaptive Parameter Estimation of Power System Dynamic Model Using Modal Information
Guo, Song; Norris, Sean; Bialek, J.W.
Authors
Sean Norris
J.W. Bialek
Abstract
A novel method for estimating parameters of a dynamic system model is presented using estimates of dynamic system modes (frequency and damping) obtained from wide area measurement systems (WAMS). The parameter estimation scheme is based on weighted least squares (WLS) method that utilizes sensitivities of the measured modal frequencies and damping to the parameters. The paper concentrates on estimating the values of generator inertias but the proposed methodology is general and can be used to identify other generator parameters such as damping coefficients. The methodology has been tested using a wide range of accuracy in the measured modes of oscillations. The results suggest that the methodology is capable of estimating accurately inertias and replicating the dynamic behavior of the power system. It has been shown that the damping measurements do not influence estimation of generator inertia. The method has overcome the problem of observability, when there were fewer measurements than the parameters to be estimated, by including the assumed values of parameters as pseudo-measurements.
Citation
Guo, S., Norris, S., & Bialek, J. (2014). Adaptive Parameter Estimation of Power System Dynamic Model Using Modal Information. IEEE Transactions on Power Systems, 29(6), 2854-2861. https://doi.org/10.1109/tpwrs.2014.2316916
Journal Article Type | Article |
---|---|
Publication Date | Nov 1, 2014 |
Deposit Date | Apr 7, 2014 |
Publicly Available Date | May 9, 2014 |
Journal | IEEE Transactions on Power Systems |
Print ISSN | 0885-8950 |
Publisher | Institute of Electrical and Electronics Engineers |
Peer Reviewed | Peer Reviewed |
Volume | 29 |
Issue | 6 |
Pages | 2854-2861 |
DOI | https://doi.org/10.1109/tpwrs.2014.2316916 |
Keywords | Dynamic power system modelling, Parameter estimation, Synchronous generators, Small signal analysis, Wide area measurements. |
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Publisher Licence URL
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