NSF award 2552448 · Regents of the University of Michigan - Dearborn

ERI: Scalable Machine Learning Frameworks for Stability Enhancement in Inverter-Dominated Power Systems

Final report due

28 September 2028

in 711 days · The award ends on 31 May 2028.

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award ending 2028-05-31 · Research.gov
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Extension request16 Apr 2028in 546 days
award ending 2028-05-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 May 2028in 581 days
award ending 2028-05-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Sep 2028in 711 days
award ending 2028-05-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Sep 2028in 711 days
award ending 2028-05-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Sep 2028in 711 days
award ending 2028-05-31 · Research.gov
PAPPG 24-1: “financially closed out 120 days after their expiration date”

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NSF lists this award's end date as 31 May 2028.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 September 2028.

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Award card

Award number: 2552448
Period of support: 1 Jun 2026 – 31 May 2028
Amount: $199,984
Awardee: Regents of the University of Michigan - Dearborn, Dearborn, MI
Program: ERI-Eng. Research Initiation
Directorate: ENG

Abstract

This NSF ERI project aims to enhance the stability and resilience of modern power systems as they increasingly rely on inverter-based resources, such as distributed power generation and battery energy storage systems. While these technologies are essential for a sustainable energy future, they introduce fast and complex dynamics that make power grids more difficult to monitor and control. Traditional analysis tools…

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