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- W2154134813 abstract "In this paper, the authors present application of the nonparametric signal modeling technique for tracking frequency in power systems. This technique relies on a polynomial signal model with variable degree, and a left-sided sliding window with variable size. The polynomial is fitted locally using the samples from the sliding window. In general, for each new sample the window size and the polynomial order are automatically selected to smooth the frequency with the highest possible accuracy. Specifically, for frequency tracking in power systems, the first order polynomial model and few carefully selected window sizes are enough to design the algorithm that estimates frequency very accurately in A possible situations. The automatic selection of the window size for each new sample is performed by the intersection of confidence intervals algorithm. The paper concludes with the presentation of the representative testing results." @default.
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- W2154134813 date "2001-01-01" @default.
- W2154134813 modified "2023-09-26" @default.
- W2154134813 title "Nonparametric frequency estimation for power system applications" @default.
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- W2154134813 doi "https://doi.org/10.1109/ptc.2001.964589" @default.
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