4 papers
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…
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…
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…
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…