Frequency analysis for planned islanding operation in the Danish distribution system - Bornholm

Yu Chen, Zhao Xu, Jacob Østergaard

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearch

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    Abstract

    The power system in the Danish island Bornholm is a distribution system with a high penetration of wind generation, which is representative for expected future power systems. During the period from 11th to 14th September 2007, the Distribution System Operator (DSO) Ostkraft in Bornholm conducted a planned islanding operation test. To evaluate the test and achieve useful experience for future similar operations in Bornholm or even in other similar systems, the frequency data before, during and after this period, were recorded by Phasor Measurement Units (PMUs), supplied by Centre for Electric Technology (CET), Technical University of Denmark (DTU). Statistical analysis of frequency data has been performed and the results reveal that the frequency quality during the islanding period was significantly decreased, indicating the need for enhancing frequency control of such systems in the future.
    Original languageEnglish
    Title of host publicationUPEC 2008
    PublisherIEEE
    Publication date2008
    ISBN (Print)978-1-4244-3294-3
    DOIs
    Publication statusPublished - 2008
    EventInternational Universities Power Engineering Conference, 2008. -
    Duration: 1 Jan 2008 → …
    Conference number: 43

    Conference

    ConferenceInternational Universities Power Engineering Conference, 2008.
    Number43
    Period01/01/2008 → …

    Bibliographical note

    Copyright: 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

    Keywords

    • Power distribution planning
    • Statistical analysis
    • Distributed power generation

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