Project Grant 2229335
- The National Science Foundation (NSF) awarded a $303,656 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to The Research Foundation for The State University of New York (RF SUNY) to conduct collaborative research on the optimal design and implementation of capacity markets under market failure conditions. The project aims to develop tools for regulators to promote beneficial portfolios of battery storage and electricity production technologies, accounting for...
- This Project Grant award of $199,940.00 from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program is supporting research by Rensselaer Polytechnic Institute (RPI) to develop algorithms that can quickly predict and rectify large-scale disruptions in power systems. The key objectives are: 1) Quickly and reliably detect ambient-level anomalies in power systems and distinguish them from random noise; 2) Localize any detected anomalies; and 3) Determine the...
- This $326,900 project grant, awarded by the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) Federal Grant Program, supports the development of novel combinatorial optimization techniques for smart grids and power networks at William Marsh Rice University. The key objectives are to advance the knowledge base in microgrids and their utility within the electrical grid structure, create computationally efficient algorithms to address challenges related to...
- This $299,900 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports research by Virginia Polytechnic Institute & State University (Virginia Tech) on renewable energy integration and grid resiliency. The project focuses on developing new mathematical frameworks and computational strategies to enhance the modeling, monitoring, and analysis of power networks. This work aims to improve the management of...
- The National Science Foundation (NSF) awarded a $250,000 Project Grant under the Engineering program (CFDA 47.041) to the University of Vermont & State Agricultural College (UVM) to develop a generalized distributed framework for solving large-scale power grid problems. The project aims to advance the state-of-the-art in nonlinear programming, physics-inspired graph-partitioning, and combinatorial optimization to enable fast and robust simulations and optimizations of the future power...
- This three-year, $290,000 National Science Foundation project grant supports research at The Pennsylvania State University to develop new mathematical methods, computer models, and algorithms for electric grid operational planning under non-Gaussian uncertainties in renewable energy forecasts. Funded through NSF's Mathematical and Physical Sciences program (CFDA 47.049), the research directly addresses challenges in integrating intermittent renewable resources like wind and solar power into...
- The National Science Foundation (NSF) awarded a $159,860 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) program to the Trustees of the Stevens Institute of Technology in Hoboken, New Jersey. This 3-year grant supports the development of efficient algorithms to rigorously quantify uncertainties in state estimation and network topology identification for smart electricity distribution systems. The project aims to enable more accurate modeling and secure, cost-effective...
- This collaborative research project grant, awarded by the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049), provides $240,000 in funding to UC Riverside over a three-year period (July 1, 2025 – June 30, 2028). The project develops advanced topological and computational modeling frameworks to improve the integration and control of ultra-high-dimensional distributed energy resources within modern power transmission...
- This Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $500,000 to assess the potential for implementing transactive energy services in rural New Hampshire communities. The project aims to study the technical and social factors that influence rural residents' willingness to participate in such energy-sharing, real-time pricing markets. It will examine the features and factors required to develop a socially...
- This five-year, $500,000 project grant from the National Science Foundation's Engineering program (CFDA 47.041) will support research and education activities aimed at improving electricity market transparency and efficiency. The grantee, North Carolina State University, will advance understanding of pricing challenges arising from non-convex generating unit characteristics. Analytical frameworks will be developed to evaluate and adapt evolving market mechanisms. Game-theoretic and data-driven...
The National Science Foundation (NSF) awarded a $300,000 Project Grant to Rensselaer Polytechnic Institute (RPI) under the Mathematical and Physical Sciences (CFDA 47.049) program. The grant will fund a 3-year project titled "AMPS: Mathematical Foundations of Market Operations with Renewable Bidders." The project aims to develop the mathematical foundations for electricity markets that allow renewable energy generators to bid risk-adjusted cost curves, instead of acting as price takers. The research team will analyze the efficiency of such markets, derive renewable supply cost curves that account for risk, and investigate incentives for truthful bidding. The project's broader impacts include cross-disciplinary graduate student training, undergraduate research opportunities, K-12 outreach, and collaboration with system operators and renewable generators to improve the economic viability of renewable power.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $300.0k | 7/11/23 |