This research aims to develop novel algorithmic tools to efficiently manage the variability that renewable energy resources bring to bear on power system operations at scale. Specifically, this work aims to (1) develop distributionally robust control algorithms to enable the near-optimal dispatch of uncertain power networks; and (2) design stochastic market clearing mechanisms to provide a competitive medium through which renewable power producers can sell their variable supply on equal footing with conventional power producers and flexible demand.
