Application Development

Data Analytics and Optimization

ExaSGD: Optimizing Stochastic Grid Dynamics at Exascale

Principal Investigator: Henry Zhenyu Huang, Pacific Northwest National Laboratory

Intermittent renewable sources, electric vehicles, and smart loads are changing the behavior of the electric power grid and imposing new stochastics and dynamics for which the grid is not designed nor can accommodate. The ExaSGD project is focused on the effort to move away from current approximations in analyzing the grid uncertainty, dynamics, and optimization separately, which results in larger operating margins costing ~$5-15B annually. The objective is to deliver achievable margin bounds and thus potentially save billions of dollars annually.