3 papers
cs.LG2025
RL2Grid: Benchmarking Reinforcement Learning in Power Grid Operations
Enrico Marchesini, Benjamin Donnot, Constance Crozier +7
Reinforcement learning (RL) can provide adaptive and scalable controllers essential for power grid decarbonization. However, RL methods struggle with power grids' complex dynamics,…
eess.SY2025
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…
math.OC2024
Unified algebraic deviation of distribution factors in linear power flow
Joost van Dijk, Nico Westerbeck, Lars Schewe +2
Distribution factors are indispensable tools in the design and analysis of power transmission grids. Recently, they received a renewed interest in the field of topology optimizatio…