Predicting Basin Stability of Power Grids using Graph Neural Networks

1 code implementation • 18 Aug 2021 • Christian Nauck, Michael Lindner, Konstantin Schürholt, Haoming Zhang, Paul Schultz, Jürgen Kurths, Ingrid Isenhardt, Frank Hellmann

We investigate the feasibility of applying graph neural networks (GNN) to predict dynamic stability of synchronisation in complex power grids using the single-node basin stability (SNBS) as a measure.

Probabilistic Stability Assessment for Active Distribution Grids

1 code implementation • 17 Jun 2021 • Sebastian Liemann, Lia Strenge, Paul Schultz, Holm Hinners, Johannis Porst, Marcel Sarstedt, Frank Hellmann

This paper demonstrates the concept of probabilistic stability assessment on large-signal stability in the use case of short circuits in an active distribution grid.

Delay master stability of inertial oscillator networks

1 code implementation • 21 Nov 2019 • Reyk Börner, Paul Schultz, Benjamin Ünzelmann, Deli Wang, Frank Hellmann, Jürgen Kurths

Time lags occur in a vast range of real-world dynamical systems due to finite reaction times or propagation speeds.

Dynamical Systems Adaptation and Self-Organizing Systems