In the Sub-Area 2.3 we deal with the development of standardized, holistic tools for the planning and control of decentralized energy systems (energy communities, cellular energy systems) and microgrids.
For this purpose, interrelationships in the field of planning and control of microgrids and regional energy solutions are researched and experimentally developed. The applied methods include Mixed Integer Linear Programming (MILP), linearized MILP and Model Predictive Control (MPC) methods as well as AI based prediction models. Through the development and application of novel, mathematical algorithms, interactions between energy sectors and the use of storage and load shifts, among others, are optimally considered and integrated into energy systems. The result is a significant increase in flexibility, for example in the integration of new innovative renewable energy technologies, while at the same time increasing stability in microgrids and decentralized energy systems.