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Felix Rojas

Researcher at University of Santiago, Chile

Publications -  65
Citations -  654

Felix Rojas is an academic researcher from University of Santiago, Chile. The author has contributed to research in topics: Modular design & Converters. The author has an hindex of 11, co-authored 58 publications receiving 401 citations. Previous affiliations of Felix Rojas include Technische Universität München.

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Control of Wind Energy Conversion Systems Based on the Modular Multilevel Matrix Converter

TL;DR: The proposed control strategies enable decoupled operation of the converter, provide maximum power point tracking capability at the generator side, grid code compliance at the grid side (including low-voltage ride-through control) and good steady state and dynamic performance for balancing the capacitor voltages in all the clusters.
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Resonant control system for low-voltage ride-through in wind energy conversion systems

TL;DR: In this article, a self-tuning resonant control (RC) system is presented for LVRT control of the grid interface in the presence of symmetrical or asymmetrical faults.
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Solid state transformers: concepts, classification, and control

TL;DR: This paper provides a complete overview on SST: concepts, topologies, classification, power converters, material selection, and key aspects for design criteria and control schemes proposed in the literature.
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Three-Port Full-Bridge Bidirectional Converter for Hybrid DC/DC/AC Systems

TL;DR: Simulation and experimental results show the capability of the converter to manage the interaction between a battery and a capacitor connected to the grid achieving a fast dynamic response, bidirectional capability in all ports and reduction of components.
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Vector Control of a Modular Multilevel Matrix Converter Operating Over the Full Output-Frequency Range

TL;DR: A new vector control system based on nested controllers to regulate the modular multilevel matrix converter over the full range of frequencies to mitigate or eliminate the oscillations that arise when the frequencies are similar.