Reducing the number of thermal power plants also reduces the stabilizing influence of rotating masses in the electricity grid. The project is researching the scientific basis for understanding the effects and interactions that can arise from the interaction of individual components in a complex energy system. AMSES has created findings and foundations for a new research focus.

The transformation of the electrical energy system, which is characterized, among other things, by the increasing integration of a large number of decentralized, renewable and volatile power generation plants into the electrical grid, is also characterized by the displacement of large power plants with their turbines and generators. Due to the fact that an increasing number of consumers and generation plants are being connected to the grid via converter systems, this is also leading to a change in the interactions between the equipment and greater complexity of the dynamic balancing processes in the electrical energy system. If the expansion of volatile renewable energy sources such as wind and solar energy is further increased and efforts to implement energy efficiency measures take effect, this complexity will increase further. In the course of the balancing processes, the electrical, magnetic and mechanical variables of the system exhibit very different rates of change and spatial expansions. The system is fundamentally non-linear and rigid and has a so-called multi-time scale character. An accurate dynamic simulation of the electromechanical energy supply system, which includes all relevant electrical-mechanical interactions, for example between the grid, generator and turbine of a thermal power plant, is beyond the current state of research.

The aim of AMSES is therefore to pursue an interdisciplinary approach and to identify solutions for the simulation and prediction of complex electrical-mechanical energy systems. On the one hand, interaction-capable models from the mechanical, electromagnetic and electrical fields, including control, are created and tested in interaction. With their help, effects and interactions that only arise from the interaction of the various operating resources can be predicted in the simulation.