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
Voltage Stability of Converter-Interfaced Energy Storage Systems
Alvaro Ortega,Federico Milano +1 more
TL;DR: In this article, the contribution of converter-interfaced energy storage devices to the voltage stability in transmission systems is discussed, and the authors present static and dynamic voltage stability analyses based on a modified version of the well-known WSCC 9bus, 3-machine test system.
Proceedings ArticleDOI
Sensitivity Analysis of the Interaction between Power System Dynamics and Unit Commitment
Taulant Kerci,Federico Milano +1 more
TL;DR: A sensitivity analysis of the interaction between the dynamic response of power systems and the unit commitment problem shows that shorter scheduling periods of the SCUC leads to lower operating cost and lower frequency variations.
Journal ArticleDOI
An Efficient Representation Format for Fuzzy Intervals Based on Symmetric Membership Functions
TL;DR: It is shown that it is possible to halve the number of operations and divide by 2 to 8 the memory requirements compared to conventional solutions, and a library of fuzzy arithmetic operations written in CUDA and C++ is described.
Proceedings ArticleDOI
Periodic small-signal analysis as a tool to build transient stability models of VSC-based devices
TL;DR: A novel approach to derive a dynamic model of devices with inclusion of Voltage Source Converter (VSC) devices suitable for transient angle and voltage stability analysis of power systems through time-varying small-signal analysis.
Proceedings ArticleDOI
Viable Computation of the Largest Lyapunov Characteristic Exponent for Power Systems
Brendan Hayes,Federico Milano +1 more
TL;DR: The theoretical and numerical aspects of the computation of the largest Lyapunov Characteristic Exponent for power systems with the inclusion of stochastic processes is discussed as a method to provide a measure of stability.