88 citations · 199 across the 21 of their papers we have counts for
3 papers · 1 filter
Nontrivial Kron Reduction for Power Grid Dynamics Modeling
Laurent Pagnier, Robin Delabays, Melvyn Tyloo
The Kron reduction is used in power grid modeling when the analysis can -- supposedly -- be restricted to a subset of nodes. Typically, when one is interested in the phases' dynami…
Reinforcement Learning Optimizes Power Dispatch in Decentralized Power Grid
Yongsun Lee, Hoyun Choi, Laurent Pagnier +6
Effective frequency control in power grids has become increasingly important with the increasing demand for renewable energy sources. Here, we propose a novel strategy for resolvin…
Physics-Guided Actor-Critic Reinforcement Learning for Swimming in Turbulence
Christopher Koh, Laurent Pagnier, Michael Chertkov
Turbulent diffusion causes particles placed in proximity to separate. We investigate the required swimming efforts to maintain an active particle close to its passively advected co…