no code implementations • 17 Mar 2020 • Robin Delabays, Laurent Pagnier, Melvyn Tyloo
A wide variety of natural and human-made systems consist of a large set of dynamical units coupled into a complex structure.
no code implementations • 12 Feb 2021 • Laurent Pagnier, Michael Chertkov
Parameter Estimation (PE) and State Estimation (SE) are the most wide-spread tasks in the system engineering.
no code implementations • 26 Mar 2021 • Laurent Pagnier, Michael Chertkov
Modern state and parameter estimations in power systems consist of two stages: the outer problem of minimizing the mismatch between network observation and prediction over the network parameters, and the inner problem of predicting the system state for given values of the parameters.
no code implementations • 26 Oct 2021 • Laurent Pagnier, Michael Chertkov, Julian Fritzsch, Philippe Jacquod
This manuscript reports the first step towards building a robust and efficient model reduction methodology to capture transient dynamics in a transmission level electric power system.
no code implementations • 23 May 2022 • Laurent Pagnier, Robert Ferrando, Yury Dvorkin, Michael Chertkov
This paper seeks to design a machine learning twin of the optimal power flow (OPF) optimization, which is used in market-clearing procedures by wholesale electricity markets.
no code implementations • 31 Mar 2023 • Robert Ferrando, Laurent Pagnier, Robert Mieth, Zhirui Liang, Yury Dvorkin, Daniel Bienstock, Michael Chertkov
This paper addresses the challenge of efficiently solving the optimal power flow problem in real-time electricity markets.
no code implementations • 15 Nov 2023 • Laurent Pagnier, Igal Goldshtein, Criston Hyett, Robert Ferrando, Jean Alisse, Lilah Saban, Michael Chertkov
Inspired by the challenges of running the Israel's power system -- with its increasing integration of renewables, significant load uncertainty, and primary reliance on natural gas -- we investigate an emergency scenario where there's a need to transition temporarily to a pricier secondary fuel until the emergency resolves.