Europe has set ambitious targets for renewable energy. Several European countries are already nearing the 2050 goal of 50% penetration. With greater reliance on renewable energy comes a need to represent and proactively handle their uncertainty and intermittency.
To meet the challenge with integrating renewable energy into the grid, several new market and operational designs have been put forth, based on explicitly including renewable uncertainty in the market clearing or operational formulation.
This summer school aims to give participants practical experience with these methods, enabling the participant to design and implement them, and analyze their outcomes. The summer school focuses on three methods in particular; stochastic, robust and interval optimization. As these methods typically require solving large optimization problems, techniques for decomposing large-scale problems are also introduced.
Please registre the course or learn more about DTU Summer School - uncertainty in Electricity Markets and System Operation via this link .