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  2. Congestion data of 50 Hertz 2015-2017
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    Datenpaket: Congestion data of 50 Hertz 2015-2017

    Alternativer Identifier:
    (KITopen-DOI) 10.5445/IR/1000089661
    Verwandter Identifier:
    -
    Ersteller/in:
    Staudt, Philipp [Staudt, Philipp]

    Rausch, Benjamin [Rausch, Benjamin]

    Weinhardt, Christof [Weinhardt, Christof]
    Beitragende:
    -
    Titel:
    Congestion data of 50 Hertz 2015-2017
    Weitere Titel:
    -
    Beschreibung:
    (Abstract) The data sets comprise hourly congestion data of the transmission system operator 50 Hertz from 2015 to 2017. 50 Hertz GmbH and TenneT GmbH are the TSOs in Germany, which suffer the most from congestion in their grids (96 % of German transmission grid congestion appears here). While other German TSOs do not publish their respective congestion data, 50 Hertz GmbH provides hourly values. The data is not preprocessed but merged into one file to allow faster analysis. This data is part of a larger data set on congestion in the German electricity grids from 2015 to 2017. The related datasets are referenced below. The publication of this data set was supported by the German Research Foundation (DFG) as part of the Research Training Group GRK 2153: Energy Status Data - Informatics Methods for its Collection, Analysis and Exploitation.
    (Technical Remarks) In the following some data description is provided: - date format is dd/mm/yyyy - every transmission line is in one column: - data is given as follows "color / int W": int W indicates the amount of load in Watt [W] on the respective line, color indicates the ratio of load and thermal capacity limit: green: below 50 percent, yellow between 50 and 70 percent, red over 70 percent of the thermal capacity limit or grey if no data could be published
    Schlagworte:
    congestion
    german grid
    energy transition
    Energiewende
    Deutschland
    Germany
    redispatch
    energy data
    transmission
    Zugehörige Informationen:
    -
    Sprache:
    -
    Herausgeber/in:
    Karlsruhe Institute of Technology
    Erstellungsjahr:
    Fachgebiet:
    Economics
    Objekttyp:
    Dataset
    Datenquelle:
    -
    Verwendete Software:
    -
    Datenverarbeitung:
    -
    Erscheinungsjahr:
    Rechteinhaber/in:
    Staudt, Philipp

    Rausch, Benjamin

    Weinhardt, Christof
    Förderung:
    -
    Name Speichervolumen Metadaten Upload Aktion
    Status:
    Publiziert
    Eingestellt von:
    kitopen
    Erstellt am:
    Archivierungsdatum:
    2023-06-21
    Archivgröße:
    68,2 MB
    Archiversteller:
    kitopen
    Archiv-Prüfsumme:
    fef207ae5ae3724a19b203f9f013ba16 (MD5)
    Embargo-Zeitraum:
    -