The grid is managed through power flow and the effect that load and source have on the grid based on day-ahead planning and worst case demand scenarios.
Goals and Objectives
Using predictive analytics and access to multiple data sources to predict grid performance and using a more “Just-in-Time” approach to power management. It will allow the ISOs to significantly reduce back and ancillary generation sources.
DERMS, Smart Grid components, grid analytics, cognitive, cloud
Use Case Summary
Real-time control of grid through analytics and predictive performance to better account for supply and demand on the grid.