Estimation of modal parameters of low frequency oscillations in power system using Hankels total least square method
| Autor: | Joice G. Philip, Trapti Jain |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Noise (signal processing)
020209 energy Fast Fourier transform 02 engineering and technology Signal Electric power system symbols.namesake Modal Fourier transform Signal-to-noise ratio 0202 electrical engineering electronic engineering information engineering symbols Algorithm Parametric statistics Mathematics |
| Zdroj: | 2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia). |
| Popis: | This paper proposes a Hankels total least square (HTLS) based method for determining the modal parameters of the low frequency oscillations present in the power system. HTLS being a parametric method requires an estimate of the model order of the signal for its successful performance. In the proposed method, the model order estimate is obtained based on the number of peaks present in the FFT plot of the signal. The performance of the proposed method is compared with that of a Fourier based method and Modified Prony based method at different levels of signal to noise ratios and PMU reporting rates using real as well as synthetic signals. It is observed that, in comparison to the above mentioned methods, the proposed method is least affected by the noise contamination and low PMU reporting rates making it a better choice for modal estimation of low frequency oscillations. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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