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Indication of Abnormal Operation Conditions in a Mesh Network Based on Data from Distributed Measurement

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F21%3APU141749" target="_blank" >RIV/00216305:26220/21:PU141749 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1049/icp.2021.1717" target="_blank" >http://dx.doi.org/10.1049/icp.2021.1717</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1049/icp.2021.1717" target="_blank" >10.1049/icp.2021.1717</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Indication of Abnormal Operation Conditions in a Mesh Network Based on Data from Distributed Measurement

  • Original language description

    The paper discusses possible contribution of distributed measurement system installed in a mesh LV network in means of non-standard operation states or faults detection. A numerical model of real, highly interconnected mesh MV/LV network is created and is used for cascading failure simulations. Possibilities of cascading failure indication are examined based on calculating voltages and currents in the network. Distributed voltage monitoring potential is assessed based on limited number of measuring devices, selectively placed in the LV network. Simulations show that the impact of distributed voltage measurement is insignificant. As a result, monitoring of currents at MV/LV transformer stations is proposed and further examined. For both voltage and current monitoring, variants of different monitoring penetration are discussed.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    CIRED 2021 - The 26th International Conference and Exhibition on Electricity Distribution

  • ISBN

    978-1-83953-591-8

  • ISSN

    2732-4494

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    1567-1571

  • Publisher name

    Institution of Engineering and Technology

  • Place of publication

    United Kingdom

  • Event location

    Online/Virtual, Switzerland

  • Event date

    Sep 20, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article