Dresden 2020 – wissenschaftliches Programm

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SOE: Fachverband Physik sozio-ökonomischer Systeme

SOE 4: Physics of Power Grids (joint session DY/SOE)

SOE 4.1: Vortrag

Montag, 16. März 2020, 11:30–11:45, ZEU 147

Dynamic Vulnerability of Oscillatory Networks and Power Grids — •Xiaozhu Zhang1, Cheng Ma2, and Marc Timme11Chair for Network Dynamics, Institute for Theoretical Physics and Center for Advancing Electronics Dresden (cfaed), Cluster of Excellence Physics of Life, Technical University of Dresden, 01062 Dresden, Germany — 2School of Physics, Nankai University, Tianjin 300071, China

Driven by dynamic fluctuations, oscillatory networks such as AC power grids exhibit highly heterogeneous, nontrivial resonant patterns that jointly depend on the driving frequency, the interaction topology of the network and the nodes driven [1,2]. However, it remains an open problem to identify which nodes are most susceptible and may make entire systems vulnerable to dynamic driving signals. Here we propose a Dynamic Vulnerability Index (DVI) [3] for identifying those nodes that exhibit largest amplitude responses to dynamic driving signals with given power spectra, and thus are most vulnerable. The DVI is easy to compute and enables robust high-quality predictions. It shows potential for a wide range of applications across dynamically driven networks, e.g. for identifying the vulnerable nodes in AC power grids driven by power fluctuations from renewable energy sources and customers’ behaviour.

[1] X. Zhang et al., Science Advances 5:eaav1027 (2019).

[2] S. Tamrakar et al., Scientific Reports 8:6459 (2018).

[3] X. Zhang et al., arXiv:1908.00957 (2019).

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