Design and implementation of an Electronic Load for Emulating Frequency-Dependent Impedances in the Vertical Stabilization Coils of the Divertor Tokamak Test Facility

The study will focus on investigating Power Hardware-in-the-Loop (PHIL) and Load Emulators (LE) for high-current applications. It will aim to identify DUT testing requirements and analyze gaps in literature.

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Multilevel Converters for High Power Applications and Medium Voltage Drives

Multilevel Converters for High Power Applications and Medium Voltage Drives

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Design control and implementation of an LLC resonant converter using GaN technology

Design and implementation of a ISOP LLC resonant converter to test, at a real application system level, the use of GaN devices versus traditional technology and to investigate novel solutions for drivers, overcurrent protections and control

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Innovative methods for impedance estimation using artificial intelligence

Develop an LSTM-based model to estimate grid impedance dynamically. Learned nonlinear grid behavior from operational data without explicit equations. Improves converter control stability and fault resilience.

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Solid State Transformers for next generation AI server stations

Development of a multi-port Solid-State Transformer (SST) system working as a key power interface between the medium-voltage (MV) grid and low voltage (LV) critical server infrastructure, with multiple DC output voltage levels.

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Enhanced STATCOM wiith Supercap: Design, Control and Real Time Simulator for Hardware In the Loop Test

Enhanced STATCOM wiith Supercap: Design, Control and Real Time Simulator for Hardware In the Loop Test

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Digital Twin of Power Electronics Converters using Artificial Neural Networks

Build a virtual–physical loop for CHB and DAB converters to enable predictive maintenance. Integrated sensor data, neural models, and feedback control in real time. Supports AI-driven reliability enhancement and fault prevention

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Intelligent, Modular and Adaptive Power Conversion Technology for Battery Energy Storage Systems

Developing of Intelligent Battery Modules (IBMs) to replace traditional battery packs and converters, forming a DC/AC multilevel converter to optimize energy delivery and system integration across various battery chemistries.

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Grid Active Node for DC Electrical Systems (GRAND)

Development of innovative multi-port power conversion systems for DC microgrids that enable seamless integration of Distributed Energy Resources and Storage into the Internet of Energy: focus on advanced control, optimized design, and remote operability.

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