In the field of applied optimization and co-simulation for energy conversion, the research group focuses on developping software solutions used for improving the performance of electrical drives and power grids. The main focus is on properly structuring optimization problems in energy conversion field and solving these optimization problems using different algorithms.
The group further emphasises on the use of co-simulation methodology to increase optimization performance and to reduce the necessery time to code and execute the optimization procedure. The connection between ready made software and different programming languages together with HPC and HIL simulators alows the researchers to present optimal solutions to the problems in fastest time, from idea to results.
The co-simulation approach also alows the procedures repeatability with different datasets, from simulated to measured quantities with lowest time.
Optimization problems are further extended to problems in modeling and estimation in electrical power grids and electrical drives. Applied computational inteligence and soft computing is utilized in parallel with optimization procedures to achieve optimal solutions to problems such as Fuzzy logic MPC controller design for induction motor, Optimal grid voltage profile estimation, Real-Time executable FEM based model of electric motors, ...
The topics of optimization and co-simulation are fundamental in research towards using efficient digital twins in the industry.
