The available infrastructure allows the validation of generation systems connected to the electricity grid. The system can operate in AC or DC and at different voltage levels. Energy can be absorbed or injected into the grid. The infrastructure includes tools to assess the technical feasibility of the power stages: efficiency, thermal regime, etc. It also allows the integration of rapid prototypes on simulation hardware and / or the real-time control system. There is a platform for the characterization of power semiconductors in real time, without the need for specific banks.
Integration of distributed generation and storage. Microgrids
Product validation (HW/SW) for electricity grids
Equipments for coupling AC - DC
Equipments for coupling for AC and DC generation systems (renewable).
Model testing platform
Platform for execution of models or digital twins developed in Matlab / Simulink
SIC based converter
Platform for online monitoring and characterization of converters with SIC semiconductors
Testing infrastructure
Testing infrastructure for synchronization algorithms with the grid and active / reactive energy management.
Thermal sizing
Tool for optimizing thermal sizing (selection of semiconductors, cooling system ...) and filtering of converters
Analysis and characterization of the behavior of SiC semiconductors on already designed converter prototypes. They can be characterized, dv / dt, working temperatures, overvoltages ...
Proof of concept for the integration of renewable energies into the grid using power converters with the possibility of adjusting working parameters.
Study the feasibility of the electrical and mechanical requirements of power conversion stages. Fast converter sizing to assess thermal behavior, power density, approximate cost and critical active / passive components.
Training in the use of platforms oriented to Hardware-in-the-loop (HIL), virtual commissioning and rapid prototyping for power conversion applications. Development of simulation models and digital twin
Development or integration of control algorithms on simulated models. Code generation and integration in microcontrollers and FPGAs.