210 citations · 477 across the 28 of their papers we have counts for
31 papers
Network-Realised Model Predictive Control Part II: Distributed Constraint Management
Andrei Sperilă, Alessio Iovine, Sorin Olaru +1
A two-layer control architecture is proposed, which promotes scalable implementations for model predictive controllers. The top layer acts as both a reference governor for the bott…
Network-Realised Model Predictive Control Part I: NRF-Enabled Closed-loop Decomposition
Andrei Sperilă, Alessio Iovine, Sorin Olaru +1
A two-layer control architecture is proposed to enable scalable implementations for constraint-based decision strategies, such as model predictive controllers. The bottom layer is…
Certification of MPC-based zonal controller security properties using accuracy-aware machine learning proxies
Pierre Houdouin, Manuel Ruiz, Patrick Panciatici
The fast growth of renewable energies increases the power congestion risk. To address this issue, the French Transmission System Operator (RTE) has developed closed-loop controller…
Minimal Sparsity for Second-Order Moment-SOS Relaxations of the AC-OPF Problem
Adrien Le Franc, Victor Magron, Jean-Bernard Lasserre +2
AC-OPF (Alternative Current Optimal Power Flow)aims at minimizing the operating costs of a power gridunder physical constraints on voltages and power injections.Its mathematical fo…
Subtransmission Grid Control via Online Feedback Optimization
Lukas Ortmann, Jean Maeght, Patrick Panciatici +2
The increasing electric power consumption and the shift towards renewable energy resources demand for new ways to operate transmission and subtransmission grids. Online Feedback Op…
Decision-making Oriented Clustering: Application to Pricing and Power Consumption Scheduling
Chao Zhang, Samson Lasaulce, Martin Hennebel +3
Data clustering is an instrumental tool in the area of energy resource management. One problem with conventional clustering is that it does not take the final use of the clustered…
Learning to run a Power Network Challenge: a Retrospective Analysis
Antoine Marot, Benjamin Donnot, Gabriel Dulac-Arnold +7
Power networks, responsible for transporting electricity across large geographical regions, are complex infrastructures on which modern life critically depend. Variations in demand…
Energy-Efficient MIMO Multiuser Systems: Nash Equilibrium Analysis
Hang Zou, Chao Zhang, Samson Lasaulce +2
In this paper, an energy efficiency (EE) game in a MIMO multiple access channel (MAC) communication system is considered. The existence and the uniqueness of the Nash Equilibrium (…
Decision Set Optimization and Energy-Efficient MIMO Communications
Hang Zou, Chao Zhang, Samson Lasaulce +2
Assuming that the number of possible decisions for a transmitter (e.g., the number of possible beamforming vectors) has to be finite and is given, this paper investigates for the f…
LEAP nets for power grid perturbations
Benjamin Donnot, Balthazar Donon, Isabelle Guyon +4
We propose a novel neural network embedding approach to model power transmission grids, in which high voltage lines are disconnected and reconnected with one-another from time to t…
The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms
Sogol Babaeinejadsarookolaee, Adam Birchfield, Richard D. Christie +20
In recent years, the power systems research community has seen an explosion of novel methods for formulating the AC power flow equations. Consequently, benchmarking studies using t…
Cloud Storage for Multi-Service Battery Operation (Extended Version)
Mohammad Rasouli, Tao Sun, Camille Pache +4
We study a cloud storage operator who provides shared storage service for electricity end-users using the residual part of a multi-service grid-scale battery primarily used for hig…
Decision-Oriented Communications: Application to Energy-Efficient Resource Allocation
Hang Zou, Chao Zhang, Samson Lasaulce +2
In this paper, we introduce the problem of decision-oriented communications, that is, the goal of the source is to send the right amount of information in order for the intended de…
Robust MPC for temperature management on electrical transmission lines
Clémentine Straub, Sorin Olaru, Jean Maeght +1
In the current context of high integration of renewable energies, maximizing infrastructures capabilities for electricity transmission is a general need for Transmission System Ope…
Critical Time Windows for Renewable Resource Complementarity Assessment
Mathias Berger, David Radu, Raphael Fonteneau +7
This paper proposes a systematic framework to assess the complementarity of renewable resources over arbitrary geographical scopes and temporal scales which is particularly well-su…
Congestion management within a multi-service scheduling coordination scheme for large battery storage systems
Clémentine Straub, Jean Maeght, Camille Pache +2
There is a growing interest in the use of largescale battery storage systems for grid services. This technology has been deployed in several countries to increase transmission syst…
Complementarity Assessment of South Greenland Katabatic Flows and West Europe Wind Regimes
David Radu, Mathias Berger, Raphaël Fonteneau +6
Current global environmental challenges require vigorous and diverse actions in the energy sector. One solution that has recently attracted interest consists in harnessing high-qua…
Maximal Positive Invariant Set Determination for Transient Stability Assessment in Power Systems
Antoine Oustry, Carmen Cardozo, Patrick Panciatici +1
This paper assesses the transient stability of a synchronous machine connected to an infinite bus through the notion of invariant sets. The problem of computing a conservative appr…
Zonal congestion management mixing large battery storage systems and generation curtailment
Clementine Straub, Sorin Olaru, Jean Maeght +1
The French transmission system operator (RTE) needs to face a significant congestion increase in specific zones of the electrical network due to high integration of renewable energ…
Anticipating contingengies in power grids using fast neural net screening
Benjamin Donnot, Isabelle Guyon, Marc Schoenauer +2
We address the problem of maintaining high voltage power transmission networks in security at all time. This requires that power flowing through all lines remain below a certain no…
Optimization of computational budget for power system risk assessment
Benjamin Donnot, Isabelle Guyon, Antoine Marot +2
We address the problem of maintaining high voltage power transmission networks in security at all time, namely anticipating exceeding of thermal limit for eventual single line disc…
Fast Power system security analysis with Guided Dropout
Benjamin Donnot, Isabelle Guyon, Marc Schoenauer +2
We propose a new method to efficiently compute load-flows (the steady-state of the power-grid for given productions, consumptions and grid topology), substituting conventional simu…
Guided Machine Learning for power grid segmentation
Antoine Marot, Sami Tazi, Benjamin Donnot +1
The segmentation of large scale power grids into zones is crucial for control room operators when managing the grid complexity near real time. In this paper we propose a new method…
Introducing machine learning for power system operation support
Benjamin Donnot, Isabelle Guyon, Marc Schoenauer +2
We address the problem of assisting human dispatchers in operating power grids in today's changing context using machine learning, with theaim of increasing security and reducing c…