NSF Convergence Accelerator–Track D: AI-Grid: AI-Enabled, Provably Resilient, Programmable Networked Microgrids

$50M USD

Funder	National Science Foundation (US)
Recipient Organization	Suny At Stony Brook
Country	United States
Start Date	Oct 01, 2021
End Date	Apr 30, 2025
Duration	1,307 days
Number of Grantees	4
Roles	Principal Investigator; Co-Principal Investigator
Data Source	National Science Foundation (US)
Grant ID	`2134840`

Grant Description

Coordinated networked microgrids (NMs) promise to significantly enhance power grid reliability. Three main challenges prevent their wide adoption: 1) Lack of understanding of NM dynamics; 2) Big data but limited/unscalable analytics; 3) Cyber-infrastructure bottlenecks.

This project aims to develop AI-Grid: AI-enabled, provably resilient NMs. Key innovations are a programmable platform integrating reliable modeling under uncertainty, reachability analysis, formal control, high-assurance software architectures, and cybersecurity technologies to enable scalable, autonomic, and ultra-resilient microgrids and NMs.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.