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    Probabilistic Topology Detection for Efficient MV-Micro Grid Control with Autarkic Smart Grid Systems

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    CIRED 2018 Ljubljana WS - 0226 - 20988.pdf (445.3Kb)
    Paper number
    0226
    Conference name
    CIRED 2018 Ljubljana Workshop
    Conference date
    7 - 8 June 2018
    Conference location
    Ljubljana, Slovenia
    Peer-reviewed
    Yes
    Metadata
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    Authors
    Modemann, Marcel, University of Wuppertal, Germany
    Steinbusch, Philippe, University of Wuppertal, Germany
    Uhlig, Roman, University of Wuppertal, Germany
    Zdrallek, Markus, University of Wuppertal, Germany
    Friedrich, Wolfgang, Phoenix Contact Energy Automation GmbH, Germany
    Abstract
    Due to political and economic goals, not only the German power grid is in a radical change. The classical top-down energy flow is continuously transforming into a bottom-up energy flow. Intelligent automation systems are increasingly important in this context. The smart grid systems and new developed functions induce an increasing flow of information, so-called micro-grids are supposed to regulate the power flow locally with a reduced data transfer. Such micro-grids can operate independently if it is able to decouple themselves from the power grid. In isolated operation, it is essential to recognize or record the exact breaker states so that the system define the limits of a micro-grid clearly. Although all breaker states are included in the SCADA (Supervisory Control and Data Acquisition), there is usually no connection between the SCADA and the automation system for IT security reasons, therefore the topology detection is essential [1]. Together with industrial partners, the University of Wuppertal is developing an automation system that could be operated in such a medium voltage (MV) micro-grid. The main focus of this paper is on the detection of different topology configurations in a MV micro-grid.
    Publisher
    AIM
    Date
    2018-06-07
    Published in
    • CIRED 2018 Ljubljana Workshop on Microgrids and Local Energy Communities
    Permanent link to this record
    https://www.cired-repository.org/handle/20.500.12455/1242
    http://dx.doi.org/10.34890/395
    ISSN
    2032-9628
    ISBN
    978-2-9602415-1-8

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