Curtailed power (kW) time series (temporal resolution = 15 min) due to feed-in management for german districts in 2015 till 2019. The measures of the following DSOs are used for the calculation: Avacon, Bayernwerk, EDIS, SH-Netz, Mitnetz, Netze BW (Data only for 2015-2018), Schleswig-Holstein (S-H) Netz, Wemag, Westfalen Weser Netz (Data only for 2015-2017). The underlying methodology for the calculation of the curtailment time series can be found in the following publication: Simon, Köppl et al.: Congestion management and its interdependency with the energy system in Germany – an empirical analysis. In: 19th International Workshop on Large-Scale Integration of Wind Power into Power Systems as well as on Transmission Networks for Offshore Wind Plants; München: Forschungsstelle für Energiewirtschaft e. V., 2020.
Metadata
Unit:
kW
Spatial resolution:
German District
Period:
2015,2016,2017,2018,2019
Internal ID:
–
Publication source:
Simon, Köppl et al.: Congestion management and its interdependency with the energy system in Germany – an empirical analysis. In: 19th International Workshop on Large-Scale Integration of Wind Power into Power Systems as well as on Transmission Networks for Offshore Wind Plants; München: Forschungsstelle für Energiewirtschaft e. V., 2020. See also: Ostermann, Adrian: Systemrückwirkungen von Einspeisemanagementmaßnahmen. Masterarbeit. Herausgegeben durch die Technische Universität München; betreut durch die Forschungstelle für Energiewirtschaft e.V. (FfE): München, 2018.
Curtailment (German Districts): https://opendata.ffe.de/dataset/curtailment-german-districts/; München: Forschungsstelle für Energiewirtschaft e. V. (FfE), 2020.