On-line Coherency Analysis based on Sliding-Window Koopman Mode Decomposition

Harold R. Chamorro, A.-J. Guel-Cortez, Camilo A. Ordonez, Mario R. Arrieta Paternina, Marko Budisić

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

    3 Citations (Scopus)


    Nowadays, power systems complexity requires of innovative methods to monitor and provide an adequate online assessment. Coherency identification (based on data-driven methods) is a potential tool that can be integrated into the system infrastructure for the protection and resilience of the power grid. This work presents a modification of the Koopman Mode Decomposition (KMD) by adding a sliding-window to emulate the processed system's signals and to visualise the data concentration as a Transmission System Operator (TSO). Finally, we present a study of a data-set of rotor angle observables from the Nordic 32 test system after a disturbance to observe the rapid coherency at specific time-shots. This study provides evidence that the proposed modified KMD is a fast and robust approach to analyze large time-domain simulation data.
    Original languageEnglish
    Title of host publicationProceedings - 2021 13th Annual IEEE Green Technologies Conference, GREENTECH 2021
    Number of pages5
    ISBN (Electronic)978-1-7281-9139-3
    ISBN (Print)978-1-7281-9140-9
    Publication statusPublished - Apr 2021
    Event13th Annual IEEE Green Technologies (GreenTech) Conference - Online, Denver, United States
    Duration: 7 Apr 20219 Apr 2021
    Conference number: 13

    Publication series

    NameIEEE Green Technologies Conference
    ISSN (Electronic)2166-5478


    Conference13th Annual IEEE Green Technologies (GreenTech) Conference
    Country/TerritoryUnited States


    • Koopman Mode Decomposition
    • On-line Identification
    • Power Systems Coherency
    • Rapid Coherency
    • Sliding-Window
    • Wide-Area Measurement Systems

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering
    • Ecological Modelling
    • Environmental Engineering


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