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Alfonso Damiano

Researcher at University of Cagliari

Publications -  156
Citations -  1563

Alfonso Damiano is an academic researcher from University of Cagliari. The author has contributed to research in topics: Energy storage & Renewable energy. The author has an hindex of 19, co-authored 150 publications receiving 1281 citations. Previous affiliations of Alfonso Damiano include IMT Institute for Advanced Studies Lucca & INAF.

Papers
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Journal ArticleDOI

Second-order sliding-mode control of DC drives

TL;DR: A recently-proposed 2-SMC algorithm is used to synthesize a robust dc-drive control system which does not require current feedback and demands only rough information about the actual motor parameters.
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Real-Time Control Strategy of Energy Storage Systems for Renewable Energy Sources Exploitation

TL;DR: In this article, an optimal energy storage system (ESS) management procedure devoted to full renewable energy sources (RESs) exploitation is presented, which consists of an appropriate scheduling procedure and a real-time control strategy, which both aim to increase RES penetration level as much as possible.
Journal ArticleDOI

Robust speed and torque estimation in electrical drives by second-order sliding modes

TL;DR: Experimental results on an induction motor drive show that fast and accurate estimates of speed and torque can be obtained in several operating conditions by double differentiation of the encoder position measurement.
Journal ArticleDOI

Islanding the power grid on the transmission level: less connections for more security

TL;DR: This paper studies islanding on the level of the transmission grid and shall show that it is a suitable measure to enhance energy security and grid resilience and considers the German and Italian transmission grids.
Proceedings ArticleDOI

Vehicles to grid (V2G) concept applied to a Virtual Power Plant structure

TL;DR: In this article, the authors analyzed the possibilities to use electric vehicles connected to the grid as energy storage system within a Virtual Power Plant structure and the optimal number of electric vehicles has been evaluated.