activity
20172024
most citedThe effect of transmission-line dynamics on grid-forming dispatchable virtual oscillator control

17 citations · 18 across the 8 of their papers we have counts for

collaborators

10 papers

stat.ML2024

Maximum likelihood inference for high-dimensional problems with multiaffine variable relations

Jean-Sébastien Brouillon, Florian Dörfler, Giancarlo Ferrari-Trecate

Maximum Likelihood Estimation of continuous variable models can be very challenging in high dimensions, due to potentially complex probability distributions. The existence of multi…

eess.SY2024

Power Grid Parameter Estimation Without Phase Measurements: Theory and Empirical Validation

Jean-Sébastien Brouillon, Keith Moffat, Florian Dörfler +1

Reliable integration and operation of renewable distributed energy resources requires accurate distribution grid models. However, obtaining precise models is often prohibitively ex…

math.OC2023

Distributionally Robust Infinite-horizon Control: from a pool of samples to the design of dependable controllers

Jean-Sébastien Brouillon, Andrea Martin, John Lygeros +2

We study control of constrained linear systems with only partial statistical information about the uncertainty affecting the system dynamics and the sensor measurements. Specifical…

eess.SY2023

Regularization for distributionally robust state estimation and prediction

Jean-Sébastien Brouillon, Florian Dörfler, Giancarlo Ferrari-Trecate

The increasing availability of sensing techniques provides a great opportunity for engineers to design state estimation methods, which are optimal for the system under observation…

eess.SY2022

Minimal regret state estimation of time-varying systems

Jean-Sébastien Brouillon, Florian Dörfler, Giancarlo Ferrari-Trecate

Kalman and H-infinity filters, the most popular paradigms for linear state estimation, are designed for very specific specific noise and disturbance patterns, which may not appear…

eess.SY2022

Maximum likelihood estimation of distribution grid topology and parameters from smart meter data

Lisa Laurent, Jean-Sébastien Brouillon, Giancarlo Ferrari-Trecate

This paper defines a Maximum Likelihood Estimator (MLE) for the admittance matrix estimation of distribution grids, utilising voltage magnitude and power measurements collected onl…

eess.SY2022

Robust online joint state/input/parameter estimation of linear systems

Jean-Sébastien Brouillon, Keith Moffat, Florian Dörfler +1

This paper presents a method for jointly estimating the state, input, and parameters of linear systems in an online fashion. The method is specially designed for measurements that…

eess.SY2021★ 1 cited

Bayesian Error-in-Variables Models for the Identification of Power Networks

Jean-Sébastien Brouillon, Emanuele Fabbiani, Pulkit Nahata +3

The increasing integration of intermittent renewable generation, especially at the distribution level,necessitates advanced planning and optimisation methodologies contingent on th…

math.OC2018★ 17 cited

The effect of transmission-line dynamics on grid-forming dispatchable virtual oscillator control

Dominic Groß, Marcello Colombino, Jean-Sébastien Brouillon +1

In this work, we analyze the effect of transmission line dynamics on grid-forming control for inverter-based AC power systems. In particular, we investigate a dispatchable virtual…

math.OC2017

Global phase and magnitude synchronization of coupled oscillators with application to the control of grid-forming power inverters

Marcello Colombino, Dominic Groß, Jean-Sébastien Brouillon +1

In this work, we explore a new approach to synchronization of coupled oscillators. In contrast to the celebrated Kuramoto model we do not work in polar coordinates and do not consi…