activity
20172026
most citedThe Key Player Problem in Complex Oscillator Networks and Electric Power Grids: Resistance Centralities Identify Local Vulnerabilities

88 citations · 199 across the 21 of their papers we have counts for

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8 papers · 1 filter

eess.SY2026

Accurate Data-Based State Estimation from Power Loads Inference in Electric Power Grids

Philippe Jacquod, Laurent Pagnier, Daniel J. Gauthier

Accurate state estimation is a crucial requirement for the reliable operation and control of electric power systems. Here, we construct a data-driven, numerical method to infer mis…

eess.SY2024★ 1 cited

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…

eess.SY2023

System-Wide Emergency Policy for Transitioning from Main to Secondary Fuel

Laurent Pagnier, Criston Hyett, Robert Ferrando +4

Faced with the complexities of managing natural gas-dependent power system amid the surge of renewable integration and load unpredictability, this study explores strategies for nav…

eess.SY2022

Machine Learning for Electricity Market Clearing

Laurent Pagnier, Robert Ferrando, Yury Dvorkin +1

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. The m…

eess.SY2021★ 10 cited

Towards Model Reduction for Power System Transients with Physics-Informed PDE

Laurent Pagnier, Michael Chertkov, Julian Fritzsch +1

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 syst…

eess.SY2021★ 2 cited

Embedding Power Flow into Machine Learning for Parameter and State Estimation

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 netw…

eess.SY2020★ 5 cited

Locating line and node disturbances in networks of diffusively coupled dynamical agents

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. Breakdown of such systems can have a dramatic impact, a…

eess.SY2018★ 8 cited

Disturbance propagation, inertia location and slow modes in large-scale high voltage power grids

Laurent Pagnier, Philippe Jacquod

Conventional generators in power grids are steadily substituted with new renewable sources of electric power. The latter are connected to the grid via inverters and as such have li…