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


    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
    Publication date2020
    ISBN (Print)9781728171005
    Publication statusPublished - 2020
    Event2020 IEEE PES Innovative Smart Grid Technologies Europe - Virtual event
    Duration: 25 Oct 202028 Oct 2020


    Conference2020 IEEE PES Innovative Smart Grid Technologies Europe
    LocationVirtual event
    Internet address


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


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