Chair News

Paper published in Complexity Collection in Nature Communications

Model-free inference of direct network interactions from nonlinear collective dynamics

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Photo: cfaed

The paper "Model-free inference of direct network interactions from nonlinear collective dynamics" by Prof. Marc Timme, cfaed Strategic Professor and Chair for Network Dynamics, co-authored by researchers from Max Planck Institute for Dynamics and Self-Organization (MPIDS), has been recently published in the renowned Complexity Collection of Nature Communications. In this paper, researchers demonstrated a model-independent framework for inferring direct interactions solely from recording the nonlinear collective dynamics generated. 

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Failures in Power Grids: Dynamically Induced Cascades

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A reliable functioning of technical infrastructure networks is essential for our modern, high-tech society. Cascading failures, i.e. chain reactions of failures of different infrastructures, are the cause of many failures of entire networks, e.g. large parts of the European power grids. Although cascading failures are usually influenced by network-wide nonlinear dynamics between the individual failures, their modelling has so far concentrated primarily on the analysis of sequences of failure events of individual infrastructures - however, the dynamics between these events have not been taken into account.

In an article now published by Nature Communications, an analysis scheme is presented which takes into account the event-based character of the chain reaction as well as the specific network dynamic influences.

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To Jump or not to Jump - Impact of Renewables and Trading on Power Grid Frequency fluctuations

PRESS RELEASE 08 January 2018

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Published by MAX PLANCK INSTITUTE FOR DYNAMICS UND SELF-ORGANIZATION
Co-published: TECHNISCHE UNIVERSITÄT DRESDEN / CFAED – CENTER FOR ADVANCING ELECTRONICS DRESDEN

Our daily life depends more than ever on a reliable electrical supply. However, the ongoing energy transition poses new challenges to the electrical power grid and its operators. For the integration of additional renewable generation into the power grid, it is often proposed to split the grid into smaller autonomous cells, also called “microgrids”. Thereby, a village with a combined heat and power unit and added wind and photovoltaic generators could operate mostly independently without drawing energy from the grid. But how does splitting a large grid into smaller cells and adding more renewable generators affect the reliability of the electrical supply? Benjamin Schäfer and Marc Timme, scientists at the Max Planck Institute for Dynamics and Self-Organization in Göttingen and the Center for Advancing Electronics Dresden (cfaed) at Technische Universität Dresden, Germany, analysed power grid frequency fluctuation in different regions in the world together with colleagues from the Forschungszentrum Jülich (Germany), Queen Mary University of London (Great Britain) and the University of Tokyo (Japan). They formulated mathematical models to predict the effect of power fluctuations on the grid frequency. The results are now published in the article „Non-Gaussian Power Grid Frequency Fluctuations Characterized by Lévy-stable Laws and Superstatistics“, at Nature Energy.

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From Brain Function and Communication Networks to Power Grids

New Strategic Chair for Network Dynamics at TU Dresden´s cfaed / Inaugural Lecture on 24th of October

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The TU Dresden (TUD) has extended the Center of Excellence Center for Advancing Electronics Dresden (cfaed) by a fifth Strategic Professorship. Prof. Marc Timme from the Max Planck Institute for Dynamics and Self-Organization in Göttingen moved to the Elbe river in July 2017 and will continue his internationally successful research in the field of network dynamics at the TUD under the umbrella of cfaed. With the beginning of the current winter semester, his first courses start in Dresden.

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