3 papers
math.OC2025
Modeling to Generate Alternatives for Robustness of Mixed Integer DC Optimal Power Flow
Constance Crozier
Transmission system operators face a variety of discrete operational decisions, such as switching of branches and/or devices. Incorporating these decisions into optimal power flow…
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,…
cs.LG2024
Learning a local trading strategy: deep reinforcement learning for grid-scale renewable energy integration
Caleb Ju, Constance Crozier
Variable renewable generation increases the challenge of balancing power supply and demand. Grid-scale batteries co-located with generation can help mitigate this misalignment. Thi…