activity
20202023
most citedInertia Estimation Through Covariance Matrix

51 citations · 92 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2023

Global Momentum Estimation of an Electric Power System

Angelo Maurizio Brambilla, Davide del Giudice, Daniele Linaro +1

This work presents a technique to estimate on-line the global momentum of an electric power system. It exploits the footprint of the principal frequency system dynamics. Probing to…

eess.SY2023

Definition of Static and Dynamic Load Models for Grid Studies of Electric Vehicles Connected to Fast Charging Stations

Davide del Giudice, Angelo Maurizio Brambilla, Federico Bizzarri +2

The growing deployment of electric mobility calls for power system analyses to investigate to what extent the simultaneous charging of electric vehicles leads to degraded network o…

eess.SY2022★ 12 cited

On the Calculation of the Variance of Algebraic Variables in Power System Dynamic Models with Stochastic Processes

Muhammad Adeen, Federico Bizzarri, Davide del Giudice +4

This letter presents a technique to calculate the variance of algebraic variables of power system models represented as a set of stochastic differential-algebraic equations. The te…

eess.SY2022★ 51 cited

Inertia Estimation Through Covariance Matrix

Federico Bizzarri, Davide del Giudice, Samuele Grillo +3

This work presents a technique to estimate on-line the inertia of a power system based on ambient measurements. The proposed technique utilizes the covariance matrix of these measu…

eess.SP2020★ 29 cited

Effects of Inertia, Load Damping and Dead-Bands on Frequency Histograms and Frequency Control of Power Systems

Davide del Giudice, Angelo Brambilla, Samuele Grillo +1

The increasing penetration of renewable energy sources has been leading to the progressive phase-out of synchronous generators, which constitute the main source of frequency stabil…