Power Generation and Distribution

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.

We would be pleased to advise and support you in

  • Modeling and simulation of the complete system dynamics
  • Analysis of inaccessible system components by means of mathematical observers
  • Development of problem-specific procedures for system diagnostics
  • Design and integration of robust observers and controllers
  • Development of innovative overall system solutions
    e.g. consisting of hardware, controller/observer and intuitive GUI

Example Projects


Monitoring Systems for Power Plants

Modeling and simulation of
networks with decentralized regenerative power generation

Control concepts for power grids


Multi-network model-based monitoring and control for planning and operation


Energy Efficient Annealing Lehr

Model-based control to minimize the energy input of an annealing lehr by using new, innovative actuators