# Physics-Grounded Deep Reinforcement Learning for Adaptive Out-of-Step Protection in Low-Inertia Power Grids

**Budget Signal Score:** 55/100

| Field | Value |
|---|---|
| Institution | University of Denver |
| Location | DENVER, CO |
| Project | Physics-Grounded Deep Reinforcement Learning for Adaptive Out-of-Step Protection in Low-Inertia Power Grids |
| Award amount | $314,144 |
| Obligated so far | $314,144 |
| Awarded | 2026-08-10 |
| Period | 2026-08-15 to 2029-07-31 |
| Program | EPCL: Energy, Power, Control, |
| Directorate / division | ENG / ECCS |
| Award ID | 2625248 |

## Why this score
- Award of $300K or more.
- Equipment- and compute-heavy field.

Source: U.S. National Science Foundation Awards API (https://www.nsf.gov/awardsearch/showAward?AWD_ID=2625248). Last refreshed: 2026-11-03T18:10:42.804Z.
Award data comes from the NSF Awards API and may be amended by NSF. Institution-level only; investigator contact details are not included. Informational only.