S²G Lab

DESCRIPTION

The S²G Lab from the University of Stuttgart is engaged with the latest developments in the field of smart grid technologies. We offer our laboratory and our expertise as a platform for the testing of innovative products and novel methods to ensure a sustainable, efficient and safe energy supply. Equipped with various components such as rotating machines, dynamic loads, storage systems or protection devices, the S²G Lab is able to simulate realistic network scenarios using a real-time simulator. Power quality investigations, development of protection concepts for microgrids, analysis of the quality of PLC communication or stability studies of multi-inverter systems are among the fields of activity of the S²G Lab.

AREAS OF SPECIAL COMPETENCE

Power-HIL simulation environment for the simulation of cross-sectoral energy systems. This allows the highest possible degree of realism with reliable simulations, including power quality, PLC-communication, protection systems and others.

WHAT CAN BE TESTED

Testing of a cross-voltage level supply quality monitoring system for a much wider frequency range (up to 150 kHz). Determination of the grid and inverter impedance to investigate the stability of multi-inverter grids. Development and implementation of new concepts for real-time stability analysis of power systems.

AVAILABLE INFRASTRUCTURE

Generation emulator (DG, Wind, PV)
Different types of AC/DC converters
Different types of rotating machines
Grid emulator (30 kVA linear amplifier , DC to 150 kHz)
PHIL systems (OPAL RT)
Battery Storage System
EV charging infrastructure

HOW TO GET STARTED WITH US

Get in touch with our contact point via email or phone.
More information under www.ieh.uni-stuttgart.de.

PRICING MODEL

Due to varying project scopes, pricing is defined individually based on the services/work contribution requested.

Selected Partner Contact
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Stuttgart, Germany


Responsible organisation: University of Stuttgart, Germany

Matthias Buchner
Prof. Dr-Ing. Krzysztof Rudion

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This initiative has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreements no. 646039 and no. 775970.
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