The Algorithms for Modern Power Systems (AMPS) program is a funding opportunity established by the National Science Foundation (NSF) in partnership with the U.S. Department of Energy (DOE) to support research in mathematical and statistical algorithms for improving the security, reliability, and efficiency of the modern power grid. This program is administered by the NSF Directorate for Mathematical and Physical Sciences, Division of Mathematical Sciences (DMS), and the Office of Electricity Delivery & Energy Reliability (OE) at DOE. The program aims to drive innovation in mathematical and computational techniques to model, predict, and control power systems, helping to address the increasing volatility, complexity, and uncertainty of modern power grids.

The AMPS program funds research projects that develop advanced computational and analytical techniques essential for power grid modeling and simulation. The scope includes, but is not limited to, statistical and uncertainty analysis methods, probabilistic approaches to risk and reliability management, anomaly detection, data analytics, network theory, and scalable computational models. The overarching goal is to produce breakthroughs that enhance power grid resilience, efficiency, and security.

The program provides grants ranging from 4 to 10 awards per cycle, with a total anticipated funding amount of $2 million. Proposals can receive Standard or Continuing Grants. There are no restrictions on the number of proposals per organization or principal investigator (PI). Applications must be submitted via Research.gov or Grants.gov, and all proposals must comply with the NSF Proposal & Award Policies & Procedures Guide (PAPPG, NSF 22-1).

Eligible applicants include entities as defined in the NSF PAPPG, which typically includes academic institutions, research organizations, and nonprofit entities engaged in fundamental research. Individual unaffiliated researchers are not eligible to apply. There are no specific restrictions on who may serve as a Principal Investigator (PI).

The program has an annual deadline on the second Monday of February, with past due dates including May 11, 2022, and February 13, 2023. Future cycles are expected to follow this recurring annual schedule. There are no required letters of intent or preliminary proposals. Applications are reviewed based on NSF's Merit Review Criteria, which evaluate both Intellectual Merit and Broader Impacts. Additional program-specific criteria focus on the impact of the proposed research on mathematical sciences.

For inquiries, applicants can contact NSF and DOE program officers, including Tomek Bartoszynski (NSF), Ali Ghassemian (DOE), Eriko Hironaka (NSF), Elizabeth Wilmer (NSF), Jun Zhu (NSF), and Ludmil T. Zikatanov (NSF). Email addresses and phone numbers for each contact are provided in the solicitation.