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Adaptive Parameter Estimation of Power System Dynamic Model Using Modal Information

Lookup NU author(s): Professor Janusz Bialek



This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


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.

Publication metadata

Author(s): Guo S, Norris S, Bialek JW

Publication type: Article

Publication status: Published

Journal: IEEE Transactions on Power Systems

Year: 2014

Volume: 29

Issue: 6

Pages: 2854-2861

Print publication date: 01/11/2014

Online publication date: 25/04/2014

Acceptance date: 07/04/2014

Date deposited: 19/07/2019

ISSN (print): 0885-8950

ISSN (electronic): 1558-0679

Publisher: IEEE


DOI: 10.1109/TPWRS.2014.2316916


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