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Harmonic analysis of power system signals using a new regularized adaptive windowed lomb periodogram

  • The University of Hong Kong

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper proposes a new regularized adaptive windowed Lomb periodogram (RAWLP) method for time-frequency analysis of non-stationary power signals. It extends the conventional Lomb periodogram by estimating the periodogram locally using the weighted least-squares (WLS) estimator. Instead of employing one constant window in WLS, variable window bandwidth is adaptively selected by the intersection of confidence intervals (ICI) method to achieve a better tradeoff between time resolution and frequency resolution. Furthermore, regularization techniques are incorporated in the AWLP to further improve its performance by reducing the variance of the estimator. Simulation results show that the proposed RAWLP method has superior performance over windowed Lomb periodogram with one constant bandwidth for estimating the harmonic and interharmonic frequencies in power systems.

Original languageEnglish
Title of host publication1st International Conference on Green Circuits and Systems, ICGCS 2010
Pages567-572
Number of pages6
DOIs
StatePublished - 2010
Externally publishedYes
Event1st International Conference on Green Circuits and Systems, ICGCS 2010 - Shanghai, China
Duration: 21 Jun 201023 Jun 2010

Publication series

Name1st International Conference on Green Circuits and Systems, ICGCS 2010

Conference

Conference1st International Conference on Green Circuits and Systems, ICGCS 2010
Country/TerritoryChina
CityShanghai
Period21/06/1023/06/10

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