At the moment, we focus on:
- Airborne wind energy systems,
- Biogas power plants,
- Efficient electric vehicles,
- Computationally-efficient model predictive control of power electronic devices,
- Electrical power systems (as part of the project "CleanTechCampus Garching"),
- Digital twins for the electrical subsystems of renewable energy systems,
- Geothermal energy systems,
- High power density DC-DC converter,
- Large-scale wind turbine systems,
- Intelligent and fault-tolerant modular multilevel cascade converters,
- Small-scale wind turbine systems with reluctance synchronous generator, and
- Wave energy converters.
In general we are interested in the modeling and control of the electrical components of electrical energy systems such as different generator, converter and filter topologies, e.g.
- doubly-fed induction generator (DFIG),
- synchronous generator (SG; permanent-magnet or electrically-excited), and
- reluctance synchronous generator (RSG) with
- two-level or multi-level back-to-back converters, and
- grid connection via L, LC and LCL filter.
Of particular interest for us are
- a detailed mathematical modeling of the components,
- a stability analysis of the closed-loop system(s),
- a robust and high-quality grid integration (e.g. low total harmonic distortion),
- increased efficiency of the whole electrical system (e.g. inverter/converter and machine/filter),
- reliability (e.g. fault-detection, fault-tolerance and digital twins),
- grid state estimation (e.g. frequency, amplitudes of sub-/interharmonics) and
- a reliable operation under grid faults (e.g. low-voltage ride through).
For more details on the running projects click on the corresponding entries in the navigation bar on the left-hand side.