Wasserstein Distributionally Robust Look-Ahead Economic Dispatch

We consider the problem of look-ahead economic dispatch (LAED) with uncertain renewable energy generation. The goal this is to minimize cost conventional generation subject operational constraints. risk violating these constraints must be below a given threshold for family probability distributions characteristics similar observed past data or predictions. present two data-driven approaches based on novel mathematical reformulations distributionally robust decision problem. first one tractable convex program in which are defined via conditional-value-at-risk. second scalable optimization that yields an approximate chance-constrained LAED. Numerical experiments IEEE 39-bus system real solar production and forecasts illustrate effectiveness approaches. discuss how operators should tune techniques order seek desired robustness-performance trade-off we compare their computational scalability.