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Estimation of Parameters of a Dynamic Generator Model from Modal PMU Measurements

Lookup NU author(s): Professor Janusz Bialek

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Abstract

This paper introduces a novel methodology of parameter estimation for the power system models using the values of modes and mode shapes extracted from the PMU measurements. The main idea is to force the state matrix A, which is a function of the unknown parameters, to satisfy as closely as possible the eigenequation linking the state matrix, the modes (eigenvalues of A) and the mode shapes (right eigenvectors of A). The methodology is derived and analyzed for a general case of any model's parameters. The applications to the estimation of generator inertia M coefficients are then discussed in detail. The proposed methodology has been tested using two different system models. The results confirm the efficiency of estimating M using the PMU data, while the estimation of D is shown to be very sensitive to the measurement noise.

Publication metadata

Author(s): Gorbunov A, Dymarsky A, Bialek J

Publication type: Article

Publication status: Published

Journal: IEEE Transactions on Power Systems

Year: 2020

Volume: 35

Issue: 1

Pages: 53-62

Print publication date: 01/01/2020

Online publication date: 26/06/2019

Acceptance date: 26/06/2019

ISSN (print): 0885-8950

ISSN (electronic): 1558-0679

Publisher: IEEE

URL: https://doi.org/10.1109/TPWRS.2019.2925127

DOI: 10.1109/TPWRS.2019.2925127

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