88 citations · 199 across the 21 of their papers we have counts for
22 papers
A Closed-loop Framework to Discriminate Models Using Optimal Control
Laurent Pagnier, Melvyn Tyloo, Akshita Jindal +2
Predicting the response of an observed system to a known input is a fruitful first step to accurately control the system's dynamics. Despite the recent advances in fully data-drive…
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…
Real-Time Dynamic N-1 Screening: Identifying High-Risk Lines and Transformers After Common Faults
Ayrton Almada, Laurent Pagnier, Igal Goldshtein +3
Power system operators routinely perform N-1 contingency analysis, yet conventional tools provide limited guidance on which lines or transformers deserve heightened attention durin…
Real-Time Stochastic Assessment of Dynamic N-1 Grid Contingencies
Ayrton Almada, Laurent Pagnier, Igal Goldshtein +3
Power system operators need tools for rapid, real-time counterfactual assessments of grid security under fast-changing conditions. Traditional N-1 contingency analysis lacks dynami…
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…
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…
Differentiable Simulator For Dynamic & Stochastic Optimal Gas & Power Flows
Criston Hyett, Laurent Pagnier, Jean Alisse +4
In many power systems, particularly those isolated from larger intercontinental grids, operational dependence on natural gas becomes pivotal, especially during fluctuations or unav…
Control of Line Pack in Natural Gas System: Balancing Limited Resources under Uncertainty
Criston Hyett, Laurent Pagnier, Jean Alisse +3
We build and experiment with a realistic but reduced natural gas model of Israel. The system is unusual because (a) it is controlled from a limited number of points which are at, o…
A Physics-Informed Machine Learning for Electricity Markets: A NYISO Case Study
Robert Ferrando, Laurent Pagnier, Robert Mieth +4
This paper addresses the challenge of efficiently solving the optimal power flow problem in real-time electricity markets. The proposed solution, named Physics-Informed Market-Awar…
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…
Locating fast-varying line disturbances with the frequency mismatch
Robin Delabays, Laurent Pagnier, Melvyn Tyloo
In an attempt to provide an efficient method for line disturbance identification in complex networks of diffusively coupled agents, we recently proposed to leverage the frequency m…
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…
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…
Physics-Informed Graphical Neural Network for Parameter & State Estimations in Power Systems
Laurent Pagnier, Michael Chertkov
Parameter Estimation (PE) and State Estimation (SE) are the most wide-spread tasks in the system engineering. They need to be done automatically, fast and frequently, as measuremen…
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…
Optimal placement of inertia and primary control : a matrix perturbation theory approach
Laurent Pagnier, Philippe Jacquod
The increasing penetration of inertialess new renewable energy sources reduces the overall mechanical inertia available in power grids and accordingly raises a number of issues of…
The Key Player Problem in Complex Oscillator Networks and Electric Power Grids: Resistance Centralities Identify Local Vulnerabilities
Melvyn Tyloo, Laurent Pagnier, Philippe Jacquod
Identifying key players in a set of coupled individual systems is a fundamental problem in network theory. Its origin can be traced back to social sciences and led to ranking algor…
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…
A predictive pan-European economic and production dispatch model for the energy transition in the electricity sector
Laurent Pagnier, Philippe Jacquod
The energy transition is well underway in most European countries. It has a growing impact on electric power systems as it dramatically modifies the way electricity is produced. To…
How fast can one overcome the paradox of the energy transition? A physico-economic model for the European power grid
Laurent Pagnier, Philippe Jacquod
The paradox of the energy transition is that the low marginal costs of new renewable energy sources (RES) drag electricity prices down and discourage investments in flexible produc…