80 citations · 194 across the 7 of their papers we have counts for
8 papers
Managing power grids through topology actions: A comparative study between advanced rule-based and reinforcement learning agents
Malte Lehna, Jan Viebahn, Christoph Scholz +2
The operation of electricity grids has become increasingly complex due to the current upheaval and the increase in renewable energy production. As a consequence, active grid manage…
Learning to run a Power Network Challenge: a Retrospective Analysis
Antoine Marot, Benjamin Donnot, Gabriel Dulac-Arnold +7
Power networks, responsible for transporting electricity across large geographical regions, are complex infrastructures on which modern life critically depend. Variations in demand…
Continuation of Probability Density Functions using a Generalized Lyapunov Approach
S. Baars, J. P. Viebahn, T. E. Mulder +3
Techniques from numerical bifurcation theory are very useful to study transitions between steady fluid flow patterns and the instabilities involved. Here, we provide computational…
Exploring grid topology reconfiguration using a simple deep reinforcement learning approach
Medha Subramanian, Jan Viebahn, Simon H. Tindemans +2
System operators are faced with increasingly volatile operating conditions. In order to manage system reliability in a cost-effective manner, control room operators are turning to…
Higher-order approximations of the residual-mean eddy streamfunction and the quasi-Stokes streamfunction
Jan Viebahn, Carsten Eden
The series expansion of the residual-mean eddy streamfunction and the quasi-Stokes streamfunction are compared up to third order in buoyancy perturbation, both formally and by usin…
Effects of Drake Passage on a strongly eddying global ocean
Jan P. Viebahn, Anna S. von der Heydt, Dewi Le Bars +1
The climate impact of ocean gateway openings during the Eocene-Oligocene transition is still under debate. Previous model studies employed grid resolutions at which the impact of m…