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Adaptive Parameter Estimation of Power System Dynamic Model Using Modal Information

Guo, Song; Norris, Sean; Bialek, J.W.

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Authors

Song Guo

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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