Project Grant 2208218
Award Date 7/1/22
Completion Date 6/30/25
Dollars Obligated $401K
Federal Agency
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
Knoxville, TN 37996, USA
Similar Awards
- The University of Tennessee received a $500,000 Project Grant award from the National Science Foundation Division of Electrical, Communications and Cyber Systems on March 1, 2021 to support research towards enhanced grid robustness through discrete controls on emerging power technologies. The award is part of the NSF Directorate for Engineering's Engineering program (CFDA 47.041), which aims to foster innovation in engineering research and education to improve quality of life and economic...
- This National Science Foundation (NSF) Engineering program project grant to the University of Tennessee aims to develop a unified multi-timescale modeling and simulation framework for analyzing the complex dynamics of inverter-dense power grids integrating renewable energy resources. The $350,257 award, with a project period from Mar 1, 2024 to Feb 28, 2027, will establish heterogeneous multiscale methods and semi-analytical solution techniques to enable accurate and efficient power system...
- The University of Tennessee was awarded a $948,034 Project Grant from the National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering (47.041) federal grant program. The grant will support development of a nonlinear model reduction framework and associated data-driven inference strategies for oscillatory systems from March 1, 2022 to February 28, 2027. The framework aims to improve understanding and analysis of oscillatory dynamics through...
- The University of Tennessee received a three-year, $350,000 Project Grant from the National Science Foundation's Engineering program (CFDA 47.041) to develop artificial intelligence-assisted algorithms for automatic electric power grid modeling. The university will create models of realistic U.S. electric grids under various operating scenarios involving conventional and renewable energy sources. This will help identify and mitigate risks to electric grids by significantly reducing model...
- Vanderbilt University received a $260,291 project grant award from the National Science Foundation Division of Electrical, Communications and Cyber Systems to support research titled "COLLABORATIVE RESEARCH: ADVANCING ROBUST CONTROL AND STATE ESTIMATION OF CONVERTER-BASED POWER SYSTEMS." The two-year award period runs from September 1, 2021 through July 31, 2023. The research is funded under the NSF Directorate for Engineering's $47.041 Engineering program, which seeks to improve...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded $500,079 under the Engineering (47.041) federal grant program to the University of Utah Office of Sponsored Projects. The five-year project grant will support the development of a scalable and secure control framework for distributed grid-edge energy resources to enhance power grid reliability. Specifically, the university researchers will design optimization, machine learning, and statistical...
- This Project Grant from the National Science Foundation's Division of Electrical, Communications and Cyber Systems, under the Engineering federal grant program (CFDA 47.041), provides $480,172 to develop modeling and experimentation frameworks for studying energy dynamics in modern power systems and power electronics. The University of Texas at Austin, through its parent organization the University of Texas System, will create equivalent circuit models for multidisciplinary systems incorporating...
- This $260,000 National Science Foundation project grant will fund the development of data-enabled modeling, monitoring, and optimization algorithms targeting power system dynamics from 2022-2025. The University of Texas at Austin, through its parent organization the University of Texas System, will receive funding under the NSF Engineering program (CFDA 47.041) to correlate synchrophasor data and develop Gaussian process and stability-aware optimal power flow tools. Key outcomes will include...
- The University of Tennessee was awarded a $1,215,600 project grant from the National Science Foundation Division of Computer and Network Systems. The grant supports the "CPS: MEDIUM: SECURE CONSTRAINED MACHINE LEARNING FOR CRITICAL INFRASTRUCTURE CPS" project taking place from February 1, 2021 to January 31, 2024. The project aims to advance research in secure constrained machine learning for critical infrastructure cyber-physical systems (CPS). It will be conducted under the...
- This $375,000 National Science Foundation project grant supports the development of strategic holistic frameworks for intrusion prevention in power systems through 2025. Funded under the Engineering program (CFDA 47.041), the award to Tennessee Technological University aims to strengthen national power grid protection against cyber-physical attacks. Key products include novel methods to generate and fuse cyber and physical data reflecting normal operations and coordinated attack scenarios....