SPANNeND

The goal of the University of Kassel e2n is to develop an AI-OPF, which can realize the flexibility determination under consideration of uncertainties from forecasts and schedules, plants with local Q-control, regulatory and network conditions such as N-1 network security, protection configurations and possibly costs of Q-procurement processes. The OPF should be able to determine the Q-flexibility range on the part of the TSO as well as the Q-demands at the grid interconnection points and the characteristic parameters for individual plants or grid clusters.  The uncertainty from day-ahead/short-term forecasts and measurements will be evaluated by an AI-based method to be developed and will be coupled with the AI-OPF. The functionality of the developed method will also be verified in simulation and field test context and brought into online operation of the flexibility platform.