Uncertainty-Aware Procurement of Flexibilities for Electrical Grid Operational Planning

In the power system decarbonization roadmap, novel grid management tools and market mechanisms are fundamental to solving technical problems concerning renewable energy forecast uncertainty. This work proposes a predictive algorithm for procurement of flexibility by operator (SO), which combines SO flexible assets with active reactive short-term markets. The goal is reduce cognitive load human when analyzing multiple options trajectories forecasted load/RES create human-in-the-loop approach balancing risk, stakes, cost. also formulates decision problem into several steps where must decide book now or wait next update ( time-to-decide method), considering that (availability) price may increase lower notification time. Numerical results obtained public MV (Oberrhein) show method improves up 22% performance indicator related cost-loss matrix, compared option booking at without waiting update.