Project Grant 2145408
- 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...
- The National Science Foundation (NSF) awarded a $145,871 Project Grant under the NSF Engineering program (CFDA 47.041) to the Regents of the University of California at Riverside (UC Riverside) to develop novel data-driven control methods for the safe and secure operation of grid-edge resources (GERs) in modern power systems. The research aims to address the challenges and opportunities presented by the rapid proliferation of distributed energy resources, such as renewable generators, smart...
- 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 $550,000 five-year Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) aims to develop performance-guaranteed learning and control algorithms for real-world energy systems. The research plan focuses on two key applications: distribution grid voltage regulation and building system control. The project objectives are to provide stability, computational tractability, and robustness guarantees for these energy system control challenges through...
- This National Science Foundation (NSF) project grant under the Engineering program (CFDA 47.041) aims to develop and evaluate a bio-inspired cyber-physical system for the efficient and resilient control of distributed energy resources at the distribution level of the electric grid. The $104,166 award, effective from October 1, 2025 to September 30, 2028, will be implemented by the University of Vermont & State Agricultural College. The project seeks to translate the decentralized...
- The University of Vermont received a $500,000 Project Grant award from the National Science Foundation Division of Electrical, Communications and Cyber Systems. The award is part of NSF's Engineering program (CFDA 47.041) and will fund research from March 2021 through February 2026 to enable grid-aware aggregation and real-time control of distributed energy resources in electric power distribution systems. Specifically, the University will conduct research to improve the quality and economic...
- This National Science Foundation award of $102,289 provides funding for a one-year project grant to The University of New Mexico titled "MRI: Acquisition of a Network Emulator for Cyber Security Research of Electric Power Grids." The goal is to purchase a co-simulation tool to model cyber-physical systems and conduct cybersecurity research on critical infrastructure like power grids. This tool will enable researchers to study cyberattacks in a digital twin platform without risking an...
- 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...
- The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded the University of Texas at Austin a $250,000 Project Grant under the NSF Engineering program (CFDA 47.041) to develop novel learning-based approaches for estimating the flexibility amount of grid edge resources (GERs) and designing equitable resource coordination and management methods. The project aims to transform the management of flexible energy resources in distribution electricity...
- The National Science Foundation (NSF) awarded a $1,200,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program to the University of Texas at Austin. The grant, running from June 1, 2024 to May 31, 2027, aims to develop theoretical frameworks and practical algorithms for learning data-driven models and control strategies in networked cyber-physical systems, with a focus on power distribution systems. Key areas of work include designing...
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 tools to construct an agnostic, scalable control structure for heterogeneous distributed energy assets. Additionally, the project will investigate privacy-preserving decentralized optimization paradigms and characterize cyberattack vectors against decentralized control algorithms. The framework seeks to advance national objectives of bolstering grid decarbonization, energy security, and integration of renewable generation through more flexible distributed energy resource management.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $104.8k | 1/30/23 | ||
| Not listed | $395.3k | 2/9/22 |