Deep Reinforcement Learning for Modeling Market-Oriented Grid User Behavior in Active Distribution Grids

Today's electrical grids frequently face congestion situations due to a combination of the increasing installation of renewable energy sources, the impact of sector coupling, and the delayed grid expansion. To lower associated grid expansion costs, load and generation peaks can be reduced with grid-supporting measures, such as energy flexibility. In the future, with market-based redispatch procure...