Abstract
Two improvements of power system electromechanical oscillation estimation via subspace identification are proposed in this paper. Singular value-based criteria are introduced not only to improve the computation efficiency for determining the model order of the estimated system but also to improve the accuracy of the estimates. A mode matching method based on the characteristics of accurate mode shape estimates is proposed to ensure the correctness of the estimates. Numerical results from three different scale power systems illustrate the feasibility of the proposed methods.
Highlights
IntroductionAll these steps will be introduced
Electromechanical oscillations in power system are becoming a serious factor to limit power transfer in interconnected power systems in China
They can be written in a general form: For subspace identification methods, the estimated Hankel matrix Hbfp can be obtained by the measurement data
Summary
All these steps will be introduced . Singular value criterion (SVC), instead of information criteria like AIC and BIC, will efficiently give a more proper model order to make the estimates more accurate. 3.1 Information criteria Information criteria (IC) are referred to as penalized loglikelihood criteria where the penalty term depends on the number of free parameters in the model and the number of observations [13] They can be written in a general form: For subspace identification methods, the estimated Hankel matrix Hbfp can be obtained by the measurement data. In Appendix 2, it is shown how to find entry of Cθδ in detail
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