Exploring grid topology reconfiguration using a simple deep reinforcement learning approach

no code implementations • 26 Nov 2020 • Medha Subramanian, Jan Viebahn, Simon H. Tindemans, Benjamin Donnot, Antoine Marot

The behaviour of this agent is tested on different time-series of generation and demand, demonstrating its ability to operate the grid successfully in 965 out of 1000 scenarios.

reinforcement-learning Reinforcement Learning (RL) +2