Nonparametric frequency estimation for power system applications

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3 Citations (Scopus)

Abstract

In this paper, we present application of the nonparametric signal modeling technique for tracking frequency in power systems. This technique relies on polynomial signal model with variable degree, and 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 is enough to design the algorithm that estimates frequency very accurately in all 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.

Original languageEnglish
Title of host publication2001 IEEE Porto Power Tech Proceedings
Pages152-158
Number of pages7
DOIs
Publication statusPublished - 2001
Event2001 IEEE Porto Power Tech Conference - Porto, Portugal
Duration: 10 Sep 200113 Sep 2001

Publication series

Name2001 IEEE Porto Power Tech Proceedings
Volume1

Conference

Conference2001 IEEE Porto Power Tech Conference
Country/TerritoryPortugal
CityPorto
Period10.09.200113.09.2001

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