Dresden 2020 – scientific programme

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SOE: Fachverband Physik sozio-ökonomischer Systeme

SOE 2: Energy Systems (joint SOE/DY/AKE)

SOE 2.1: Talk

Monday, March 16, 2020, 09:30–09:45, GÖR 226

Data-driven analysis of power grid fluctuations — •Benjamin Schäfer and Christian Beck — School of Mathematical Sciences, Queen Mary University of London, London E1 4NS, United Kingdom

The Paris conference 2015 set a path to limit climate change to "well below 2°C". To reach this goal greenhouse gas emissions have to be reduced and renewable generators, electrical mobility or smart grids are integrated into the existing power system.

The introduction of these new technologies raises several questions about control, stability and operation and therefore requires a solid understanding of existing and future systems and new conceptional approaches.

Here, we use data-driven approaches to work towards a quantitative understanding of the power grid with a particular focus on fluctuations, as they are for example introduced by the changing demand or volatile energy generation of renewable generators. We analyse time series from wind power plants, households and various power grids grids to understand differences in grid operation and design.

We highlight significant deviations from Gaussianity in several quantities and report on the progress of the Marie-Curie project DAMOSET, which focuses on building up an open data base of power grid frequency measurements.