AI4DG

To guarantee the voltage quality at all electric grid levels, the safe and reliable operation and to avoid costly expansion of future electric grids, volatile renewable energy sources and storage systems must be intelligently and informatively connected. The project AI4DG aims to research and develop a distributed AI on the edge platform for an autonomous and secure battery storage control system in low voltage grids with a high share of renewable energy sources using smart meter data. Due to the distributed AI on the edge approach, the system is more fail-safe and able to preprocess sensible smart meter data to ensure data protection regulations than a centralized approach. After project preparations, the partners analyze the AI requirements defined for the energy system and AI methodology for the project. In parallel, the project partners develop a detailed hardware low voltage grid simulation and a cognitive edge architecture for distributed AI to implement and validate the distributed AI system. After successful validation, the AI system will be evaluated in the field. The project results will be disseminated at scientific open access journals and conferences. The partner AtosWorldgrid will review the further development of the project results of the AI on the edge system to achieve market readiness. Due to the AIbattery storage control, costly grid expansions will be minimized in the electric grid of Stadtwerke Versmold