17 citations · 18 across the 8 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
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…