Estimation of Oscillatory Mode Activity from PMU Measurements

Hallvar Haugdal, Kjetil Uhlen, Daniel Müller, Hjortur Johannsson

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

We propose a method for estimating the activity of oscillatory modes in power systems. The frequencies and mode shapes of the modes of interest are assumed to be known beforehand, either from linear modal analysis or from empirical mode estimation methods, and are used in combination with measurements from Phasor Measurement Units to estimate the instantaneous mode excitation in terms of amplitude and phase. The estimation is carried out using non-linear least squares to fit a set of curves to the measured data. Combining mode shapes with measured data allows the activity to be estimated from only a low number of consecutive measurement snapshots, resulting in a problem of low computational complexity that can be solved fast enough for the method to run online.The purpose of estimating the mode activity is, firstly, to contribute to increased situational awareness and facilitate methods that build further upon this information, and secondly, to be able to synthesize signals that can serve as input to controllers for power oscillation damping. It is expected that using this excitation measure will result in a more robust controller that is less prone to disturbances and noise.
Original languageEnglish
Title of host publicationProceedings of 2020 IEEE PES Innovative Smart Grid Technologies Europe
PublisherIEEE
Publication date2020
Pages201-205
ISBN (Print)9781728171005
DOIs
Publication statusPublished - 2020
Event2020 IEEE PES Innovative Smart Grid Technologies Europe - Virtual event
Duration: 25 Oct 202028 Oct 2020
https://ieee-isgt-europe.org/

Conference

Conference2020 IEEE PES Innovative Smart Grid Technologies Europe
LocationVirtual event
Period25/10/202028/10/2020
Internet address

Keywords

  • Empirical modal analysis
  • Non-linear Least Squares
  • Power oscillations
  • Wide area monitoring and control

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