Project Grant 2229074
- This $200,000 National Science Foundation project grant supports the development of a holistic quantum-inspired framework for power system state estimation at Virginia Commonwealth University from January 2023 through December 2025. The goal is to address cybersecurity risks and operational challenges in decentralized grids through four main research activities: 1) designing a quantum network architecture and protocols for smart grid communications, 2) developing efficient quantum computing...
- This Project Grant from the National Science Foundation's Division of Mathematical Sciences, under the Mathematical and Physical Sciences program (CFDA 47.049), provides $203,751 to Kennesaw State University Research And Service Foundation, Inc. for research activities related to developing a holistic quantum-inspired framework for power system state estimation. Specifically, the awardee will conduct four main research activities: 1) designing a quantum network architecture for key...
- Federal Project Grant Award Summary The National Science Foundation (NSF) Engineering Directorate (CFDA 47.041) awarded $565,470 to Stony Brook University, administered through The Research Foundation For The State University of New York, for a CAREER project titled "Fully Quantum Power Grid Analysis: Fundamental Theory and Novel Algorithms." Awarded April 1, 2026, with completion targeted for March 31, 2031, this project will deliver fundamental theory, novel algorithms, and a fully...
- This $199,986 National Science Foundation project grant supports the development of variational quantum algorithms to efficiently solve time-dependent nonlinear differential equations for very high-dimensional transient stability simulation and N-K contingency analysis problems in large-scale power systems with renewable energy sources. Funded under the NSF's $47.041 million Engineering program, the research aims to realize an exponential advantage over classical algorithms through new...
- Federal Grant Award Summary Stony Brook University received a $503,644 Project Grant from the National Science Foundation's Division of Electrical, Communications and Cyber Systems under the Engineering program (CFDA 47.041), awarded October 1, 2025, with completion scheduled for September 30, 2028. The award funds development of a scalable Quantum Electromagnetic Transient (QEMT) analysis framework designed to address critical bottlenecks in high-fidelity electromagnetic transient simulations...
- This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) aims to develop quantum computing technology to enable a seamless transition between grid-following and grid-forming controls for inverter-based resources in renewable energy systems. The $275,000 project, with a period of performance from January 1, 2025 to December 31, 2027, will be conducted by Clemson University. The key objectives are to design variational quantum algorithms that can...
- The National Science Foundation (NSF) awarded a Project Grant of $275,000 under the Engineering program (CFDA 47.041) to The Pennsylvania State University (Penn State) to develop quantum computing algorithms for optimizing the efficiency, reliability, and resilience of renewable energy systems. The project, titled "Collaborative Research: Variational Quantum Technology for Seamless Transition Between Grid-Following and Grid-Forming Controls for Inverter-Based Resources," aims to design...
- The National Science Foundation (NSF) awarded a $300,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to The Pennsylvania State University (Penn State) to establish a quantum computing training program for power system engineers. The goal of this 2-year project is to create a training program that synthesizes knowledge from power engineering and quantum computing, enabling trainees to develop quantum algorithms to address complex challenges in...
- The National Science Foundation (NSF) awarded a $350,000 Project Grant to Northeastern University under the Engineering program (CFDA 47.041) to develop a robust and efficient state estimator that can trace the fast dynamics of inverter-based renewable energy sources. The project aims to enable effective control feedback signals and facilitate the integration of these renewable sources into power grids, resulting in cleaner, less costly, and more reliable energy delivery. Key aspects of the...
- 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 $200,000 project grant from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) will fund research at Clarkson University to develop a holistic quantum-inspired framework for power system state estimation. The framework aims to address cybersecurity risks and operational challenges in decentralized grids through four main activities: 1) Designing a quantum network architecture and protocols for smart grid communications and key distribution. 2) Developing efficient quantum computing solutions for timely, high-performance state estimation including preprocessing, optimization, hardware mapping, and annealing. 3) Proposing a robust, distributed system state estimation approach leveraging quantum networking, computing and deep learning. 4) Deploying and assessing the proposed framework on a quantum cyber-physical testbed to support state estimation in smart grids enabled by quantum technologies. The goal is to lay the mathematical and algorithmic foundation for applying quantum technologies in smart grids. The two-year project began in January 2023 with a completion date of December 2025.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $200.0k | 8/8/22 |