Dealing with Uncertainty in Future Power Distribution Grid with Reinforcement Learning

In this presentation, we will discuss current research activities that describe the main challenges and opportunities in dealing with uncertainties in distributed energy resources (DERs) combined with reinforcement learning (RL) for the future power distribution grid. It aims to enable the automation control of power systems using artificial intelligence (AI) applied to distribution grids without requiring expert knowledge to develop optimal flexibility policies and improve probabilistic decision-making in future power systems and, from another point of view, to guarantee the resilience of complex power systems.