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 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...
This Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $393,890 to the University of Texas at Austin to advance the autonomy of power grids. The project aims to develop novel machine learning-assisted optimization techniques to speed up decision-making by individual power grid agents, use AI and generative modeling to enhance the resilience of multi-agent power grid management, and integrate societal benefits and sustainability metrics into...
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 University of Texas at Austin was awarded a $220,000 Project Grant from the National Science Foundation Division of Electrical, Communications and Cyber Systems. The award is part of the Engineering (47.041) federal grant program to support collaborative research titled "CCSS: LEARNING TO OPTIMIZE: FROM NEW ALGORITHMS TO NEW THEORY" from August 15, 2021 to July 31, 2024. Under this award, the University of Texas at Austin will conduct research to develop new algorithms and...
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 University of Texas at Austin received a $473,913 project grant award from the National Science Foundation on June 1, 2021 to support the program "Empowering Engineering Scholar-Activists through Community-Driven Research Experiences." The funding will support this program through May 31, 2025 under the NSF Directorate for Engineering's Engineering program (CFDA 47.041). The project aims to foster innovation and excellence in engineering research and education by enabling...
The University of Texas at Dallas was awarded a two-year, $285,368 Project Grant from the National Science Foundation Division of Electrical, Communications and Cyber Systems under the Engineering (47.041) federal grant program. The award will support research to develop unconventional high surge impedance loading transmission line designs and a novel transmission expansion planning framework. Specifically, the university will (1) design flexible transmission lines optimized for high capacity...
The National Science Foundation awarded a $280,000 Project Grant to the University of Texas at Austin under the Engineering (47.041) federal grant program. The award will support research and development of grid-forming inverter technologies to advance the energy transition and increase renewable energy grid integration. Key deliverables include optimization of grid-forming voltage control loops; development of advanced functionalities for three-port microinverters integrating solar, storage and...
The University of Texas at Austin received a $285,681 Project Grant award from the National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation to support research titled "COLLABORATIVE RESEARCH: INFERRING THE IN SITU MICRO-MECHANICS OF EMBEDDED FIBER NETWORKS BY LEVERAGING LIMITED IMAGING DATA." The three-year award, issued on January 1, 2022 under the NSF Engineering (CFDA 47.041) program, will fund research aimed at improving understanding of the...