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DY: Fachverband Dynamik und Statistische Physik

DY 46: Energy Networks (joint SOE/DY) (joint session SOE/DY)

DY 46.1: Vortrag

Donnerstag, 4. April 2019, 11:30–11:45, H17

Principal flow patterns across renewable electricity networks — •Mirko Schäfer¹, Fabian Hofmann², Johannes Kruse³, Tom Brown^4,2, Jonas Hörsch^4,2, Stefan Schramm², and Martin Greiner³ — ¹Department of Sustainable Systems Engineering (INATECH), Albert-Ludwigs-Universität Freiburg — ²Frankfurt Institute for Advanced Studies — ³Department of Engineering, Aarhus University, Denmark — ⁴Institute for Automation and Applied Informatics, Karlsruhe Institute of Technology

Using Principal Component Analysis (PCA), the nodal injection and line flow patterns in a network model of a future highly renewable European electricity system are investigated. Remarkably, the application of PCA to the transmission line power flow statistics shows that irrespectively of the spatial scale of the system representation a very low number of only 8 principal flow patterns is sufficient to capture 95% of the corresponding spatio-temporal variance. This result can be theoretically explained by a particular alignment of some principal injection patterns with topological patterns inherent to the network structure of the European transmission system. By connecting these insights to a spectral clustering method it is shown how through topological changes the flow patterns on the network can be controlled.