activity
20132025
most citedThe Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms

210 citations · 477 across the 28 of their papers we have counts for

collaborators

31 papers

eess.SY2025

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…

eess.SY2025

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…

stat.AP2024

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…

math.OC2023

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…

eess.SY2022★ 2 cited

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…

cs.LG2021

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…