Development of methods and tools for integrated power system planning, optimization and operation
MILP or linearized MILP in combination with load flow analyses for optimal distribution of decentralized technologies (such as PV, electric storage, heat pumps, CHP, electromobility, hydrogen, etc.) within distribution grid structures, energy community or in industrial environments; application of the in-house developed optimization tool OptEnGrid for comprehensive and technology-neutral analysis; identification of weak points and decision support for investments in renewable and storage technologies.
Integrated microgrid control
Development and use of predictive controls based on the IEEE 2030.7 standard; development of algorithms for load and generation forecasting based on artificial intelligence (AI) systems; creation of a framework for efficient measurement, integration, and visualization of energy data.
Testing and optimization of microgrid controllers in the Microgrid Lab
Testing and optimization of algorithms and control units in the "Microgrid Lab" research laboratory; linking acquired scientific know-how with implementation and application in product development for new services in the field of microgrids.