Data-driven Congestion Forecast at Distribution Grid Level

Konferenz: ETG Kongress 2025 - Voller Energie – heute und morgen.
21.05.2025–22.05.2025 in Kassel, Germany

Tagungsband: ETG-Fb. 176: ETG Kongress 2025

Seiten: 6Sprache: EnglischTyp: PDF

Autoren:
Schurtz, Annika; Eickmann, Jonas; Dierkes, Sebastian; Linders, Marc

Inhalt:
With the introduction of the data-driven congestion forecast, the Redispatch 2.0 forecast processes at Westnetz as a dis-tribution system operator are enhanced with new capabilities for predictive congestion detection. Using the congestion forecast, which is trained based on historical data, grid congestions are already detected beforehand, enabling targeted information to all involved market participants about upcoming Redispatch activations.