2 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,…
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…