Refine
Year of publication
- 2022 (5) (remove)
Document Type
- Report (3)
- Bachelor Thesis (1)
- Conference Proceeding (1)
Keywords
Institute
- Fakultät Elektrotechnik und Informationstechnik (5) (remove)
In this paper, we propose a novel method for real-time control of electric distribution grids with a limited number of measurements. The method copes with the changing grid behaviour caused by the increasing number of renewable energies and electric vehicles. Three AI based models are used. Firstly, a probabilistic forecasting estimates possible scenarios at unobserved grid nodes. Secondly, a state estimation is used to detect grid congestion. Finally, a grid control suggests multiple possible solutions for the detected problem. The best countermeasures are then detected by evaluating the systems stability for the next time-step.