Project:

Development of a state-of-the-art computational framework and platform for the optimal control of multi-reservoir systems under uncertainty.

Sponsor:

Bonneville Power Administration (BPA Website)

Description:

Our goal is to develop a robust and computationally efficient framework for the real-time operation of multi-objective and multi-reservoir systems that accounts for uncertainty and flexibility.  In pursuit of this goal, we are developing novel strategies for quantifying and propagating uncertainty, investigating hybrid optimization approaches, allowing for scalable parallelization in our numerical methods and combining all components into an integrated platform with a user-friendly graphical interface.