F
Federico Milano
Researcher at University College Dublin
Publications - 326
Citations - 9281
Federico Milano is an academic researcher from University College Dublin. The author has contributed to research in topics: Electric power system & Computer science. The author has an hindex of 40, co-authored 287 publications receiving 7151 citations. Previous affiliations of Federico Milano include National Scientific and Technical Research Council & University of Buenos Aires.
Papers
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Journal ArticleDOI
Design of Robust Distributed Control for Interconnected Microgrids
TL;DR: Simulation results indicate that, while conventional controllers can lead to poorly damped power oscillations among the interconnected microgrids, the proposed control scheme guarantees stability in the postdisturbance operating conditions.
Journal Article
Frequency Divider
Federico Milano,Alvaro Ortega +1 more
TL;DR: In this paper, the authors proposed an approximated yet reliable formula to estimate the frequency at the buses of a transmission system based on the solution of a steady-state boundary value problem where boundary conditions are given by synchronous machine rotor speeds and is intended for applications in transient stability analysis.
Journal ArticleDOI
The effect of time-of-use tariffs on the demand response flexibility of an all-electric smart-grid-ready dwelling
TL;DR: In this paper, the authors developed and evaluated control algorithms for the implementation of demand response strategies in a smart-grid enabled all-electric residential building, which is equipped with a 12kW heat pump, a 0.8m3 water storage tank, a 6kW photovoltaic (PV) array, solar thermal collectors for domestic hot water heating and an electric vehicle.
Journal ArticleDOI
Linear performance indices to predict oscillatory stability problems in power systems
TL;DR: In this article, various indices are proposed and studied to detect and predict oscillatory instabilities associated with Hopf bifurcations (HBs) in power systems, and a methodology is also presented to produce a linear profile for these indices.
Proceedings ArticleDOI
An open source power system analysis toolbox
TL;DR: Basic features, algorithms and a variety of case studies are presented in this paper to illustrate the capabilities of the presented tool and its suitability for educational and research purposes.