4 papers
A Conceptual Framework for AI-based Decision Systems in Critical Infrastructures
Milad Leyli-abadi, Ricardo J. Bessa, Jan Viebahn +13
The interaction between humans and AI in safety-critical systems presents a unique set of challenges that remain partially addressed by existing frameworks. These challenges stem f…
Multi-Objective Reinforcement Learning for Power Grid Topology Control
Thomas Lautenbacher, Ali Rajaei, Davide Barbieri +2
Transmission grid congestion increases as the electrification of various sectors requires transmitting more power. Topology control, through substation reconfiguration, can reduce…
Accelerated DC loadflow solver for topology optimization
Nico Westerbeck, Joost van Dijk, Jan Viebahn +2
We present a massively parallel solver that accelerates DC loadflow computations for power grid topology optimization tasks. Our approach leverages low-rank updates of the Power Tr…
Towards Efficient Multi-Objective Optimisation for Real-World Power Grid Topology Control
Yassine El Manyari, Anton R. Fuxjager, Stefan Zahlner +5
Power grid operators face increasing difficulties in the control room as the increase in energy demand and the shift to renewable energy introduce new complexities in managing cong…