Closed · 22-569 · CFDA 47.049;81.049 · Discretionary
Algorithms for Modern Power Systems
Federal grant opportunity posted by U.S. National Science Foundation, cataloged on Grants.gov.
- $300K+
- Award range
- Closed
- Status
- February 9, 2026
- Close date
- 10
- Expected awards
The verdict
Algorithms for Modern Power Systems is a closed discretionary listing from U.S. National Science Foundation that offered $300,000 or more across 10 expected awards. Future funding cycles may be published under the same CFDA number.
- $300K+
- award range
- Closed
- application status
- 10
- expected awards
- 47.049;81.049
- CFDA program
Opportunity snapshot. This Grants.gov announcement - Algorithms for Modern Power Systems - is cataloged under number 22-569 and tied to CFDA assistance listing 47.049;81.049, posted by U.S. National Science Foundation. Grants.gov currently shows the opportunity as closed, first posted on February 11, 2022 and last updated on February 18, 2025. The funding category is Discretionary, delivered as a grant.
Award economics. The award range on file is $300,000 or more. The agency has projected $2.0 million in total estimated funding for this announcement. It expects to issue 10 awards. If the agency funds the expected 10 awards from the $2.0 million estimated pool, the average award works out to roughly $200,000. Cost sharing is not required, so applicants do not need to commit matching funds to be competitive on this opportunity. Federal award ranges are often upper bounds; actual allocations reflect program appropriations, the strength of the applicant pool, and the evaluation committee's scoring.
Deadline and action path. This opportunity closed on February 9, 2026. Future funding cycles may be published under the same CFDA number, so monitoring the parent program page is the most reliable way to catch re-announcements. Every Grants.gov submission requires an active SAM.gov registration and a Unique Entity ID. Review the Eligibility section below carefully, federal eligibility categories (nonprofit, state or local government, tribal, individual, educational institution, small business) have distinct registration and reporting requirements. Pre-application outreach to the listed agency contact is permitted and often welcomed, it helps clarify scope and scoring priorities. Before acting on the deadline or award figures above, verify them directly on the official Grants.gov listing, amendments can change dates and amounts after this page was last refreshed.
Award Range
$300,000 or more
Close Date
February 9, 2026
Posted
February 11, 2022
Est. Total Funding
$2,000,000
Expected Awards
10
Instrument
Grant
Description
The Algorithms for Modern Power Systems (AMPS) program will support research projects to develop the next generation of mathematical and statistical algorithms for improvement of the security, reliability, and efficiency of the modern power grid. The program is a partnership between the Division of Mathematical Sciences (DMS) at the National Science Foundation (NSF) and the Office of Electricity Delivery & Energy Reliability (OE) at the U.S. Department of Energy (DOE).
Eligibility
Grants.gov lists this opportunity under eligibility category code 99. These codes correspond to applicant types (state/local government, tribal organization, nonprofit, educational institution, individual, small business, etc.) defined in Grants.gov's own eligibility reference. See the current Grants.gov eligibility categories or check the official listing below for this opportunity's exact eligibility statement.
Official Listing on Grants.gov
View full details, application forms, and submission instructions.
Agency Contact
NSF grants.gov support grantsgovsupport@nsf.gov
Key Dates
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Disclaimer: This information is sourced from Grants.gov and SAM.gov and is for informational purposes only. Opportunity details, deadlines, and eligibility requirements change frequently. Always verify current information directly on Grants.gov before applying. PlainGrants is not affiliated with any federal agency.
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Related
| Publisher | PlainGrants |
| Sources | the SAM.gov Assistance Listings and Grants.gov |