In this field of activity, we are developing monitoring and control algorithms for power generators, transport and distribution grids as well as for cost and energy efficiencient consumption.
Within the field of power generation, we develop real-time capable algorithms for vibration analysis e.g. for monitoring of turbo generator shaft lines. Beside pure signal-based approaches we also develop prognosis systems based on mathematical state estimators. This approach offers the possibility to predict oscillations also at locations along the generator shaft where no sensors can be placed. Then, the measured and predicted oscillations can be analyzed with respect to durability and fatigue or disturbance source detection using modern signal analysis methods.
In the area of transport and distribution networks we focus on modelling, simulation and model predictive control concepts of larger parts of the smart grid.
The increase of energy efficiency in production aids in reducing the overall energy demand. Additionally, concepts for compensating variation in intraday renewable energy generation. Here, appropriate energy storage mechanisms have to be developed and the renewable energy should be spent by the end consumers mainly when it is available.