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- W2964687063 abstract "This paper presents a new algorithm to estimate the model order of low frequency oscillations from the synchrophasor data. The method exploits the shift invariance property of the signal subspace and estimates the model order using the least square error between the shifted left singular vectors of the autocorrelation matrix of the signal. The proposed method uses the first and second shift of the synchrophasor data to estimate the order of the signal. The methodology is applied on synthetic signals generated using MATLAB. The results are validated at different noise levels using Monte-Carlo simulation." @default.
- W2964687063 created "2019-08-13" @default.
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- W2964687063 date "2019-05-01" @default.
- W2964687063 modified "2023-10-16" @default.
- W2964687063 title "Subspace Based Model Order Estimation of Low Frequency Oscillations in Power Systems Using Synchrophasor Data" @default.
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- W2964687063 doi "https://doi.org/10.1109/sgsma.2019.8784640" @default.
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