E3

E3 will develop the RESERVE modeling tool, which can be used by system operators to dynamically calculate the need for operating reserves to mitigate system-wide risks from variability and forecast errors. This partnership aims to make the tool publicly available to enable more efficient grid operations, reducing costs and enhancing the use of large-scale renewable electricity resources, distributed energy resources, and conventional power generation technologies. RESERVE will use machine learning to better predict load, wind, and solar energy production and resulting ancillary services needed to maintain real-time balance of supply and demand due to the forecasted uncertainty of renewable energy production. This tool will also assess the amount of variable energy resource capacity that can provide ancillary services to support grid reliability.

PERFORM projects will design methods and risk scores to clearly communicate the physical delivery risk of an energy asset’s offer and design grid management systems that organically capture uncertainty. These management systems will evaluate and hedge the system risk position to meet or exceed a baseline system risk index. This pursuit will achieve the following area impacts: