Power Spectrum Estimation for Frequency Domain Ambient Modal Analysis

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dc.contributor.authorVenkatasubramanian, Mani
dc.contributor.authorThomas, Chad
dc.contributor.authorFarrokhifard, Mohammadreza Maddipour
dc.date.accessioned2021-12-24T17:50:09Z
dc.date.available2021-12-24T17:50:09Z
dc.date.issued2022-01-04
dc.description.abstractThis paper studies the effect of Power Spectrum Density (PSD) estimation techniques on the accuracy of Fast Frequency Domain Decomposition (FFDD) modal analysis. FFDD utilizes ambient synchrophasor measurements to estimate characteristics of dominant system modes and oscillations by analyzing the PSD estimates from multiple synchrophasor measurements. In this paper, the impact of three different methods for PSD estimation on the accuracy of FFDD modal estimates is investigated: PWelch, MultiTaper Method (MTM) using Slepian Tapers, and MTM using Sine Tapers. Tests are done using synthetic and archived synchrophasor data. All three PSD methods are shown to work well for oscillation detection of sustained oscillations using FFDD. However, for ambient modal analysis, it is shown that FFDD based on MTM with Slepian Tapers has the most reliable modal estimations. FFDD using both MTM with Sine Tapers and PWelch have bias issues in estimating well-damped system modes, requiring more research for them to be suitable for FFDD.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2022.428
dc.identifier.isbn978-0-9981331-5-7
dc.identifier.urihttp://hdl.handle.net/10125/79763
dc.language.isoeng
dc.relation.ispartofProceedings of the 55th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectMonitoring, Control, and Protection
dc.subjectoscillations
dc.subjectpower systems
dc.subjectpower system stability
dc.subjectsignal processing
dc.subjectsychrophasors
dc.titlePower Spectrum Estimation for Frequency Domain Ambient Modal Analysis
dc.type.dcmitext

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