Project Grant 2302015
- The National Science Foundation (NSF) awarded a $1,500,000 Project Grant titled "ASCENT: BOOSTING CYBER AND PHYSICAL RESILIENCE OF POWER ELECTRONICS-DOMINATED DISTRIBUTION GRIDS IN ENERGY SPACE" to the San Diego State University Research Foundation under the NSF Directorate for Engineering (CFDA 47.041) program. The project aims to develop an innovative sensing and control system to enhance the cyber-physical resilience of power distribution systems with a high penetration of power...
- This $1,000,000 Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) will fund a collaborative research project led by Washington State University to develop advanced wildfire simulation and outage prediction models. The project aims to improve resilience planning for wildfire-related power grid disruptions by integrating diverse community characteristics, ignition sources, and grid infrastructure to generate new knowledge on the impacts of wildfires on...
- San Diego State University Foundation was awarded a $108,173 project grant from the National Science Foundation Division of Behavioral and Cognitive Sciences under the Social, Behavioral, and Economic Sciences federal grant program (CFDA 47.075). The grant will support research from August 2022 to July 2025 to understand response and resilience following compound extreme climate events within pastoral systems. The interdisciplinary project brings together faculty with decades of experience in...
- The National Science Foundation (NSF) awarded a $289,837 CAREER grant under the Engineering program (CFDA 47.041) to South Dakota State University (SDSU) for the project "DECIPHERING LARGE-SCALE REAL OUTAGE DATA FOR CASCADING FAILURE ANALYSIS, PREVENTION, AND INTERVENTION". The research aims to develop a data-driven framework to better analyze, prevent, and intervene in cascading failures in complex engineered systems like power grids. Key activities include: Efficiently estimating...
- The National Science Foundation (NSF) awarded a $500,000 Project Grant under the Engineering program (CFDA 47.041) to the University of Texas at Austin. The 5-year award, effective March 1, 2025, aims to advance the autonomy of power grids by developing fundamental theory to enhance decision speed, resilience, and societal/sustainability awareness of distributed grid management models and algorithms. The project will leverage machine learning and artificial intelligence to rapidly solve...
- This $149,940 federal Project Grant award from the National Science Foundation (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports research at George Washington University (The) to develop new mathematical optimization models and algorithms for risk-averse planning and decision-making for power grid resilience against wildfires. The key products and services to be delivered include: (1) Novel optimization models that can customize risk aversion levels and account for...
- The National Science Foundation awarded $199,723 under a Project Grant to San Diego State University Research Foundation for work titled "Towards Safe Aviation Autonomy: A Risk-Bounded Planning Framework for Dynamical Systems under Uncertainties". The two-year award runs from December 2021 through November 2023 under the Engineering program (CFDA 47.041). The Foundation will develop a risk-bounded planning and control framework for autonomous systems operating in uncertain...
- This $500,000 National Science Foundation project grant funds the development of algorithms and computational tools to optimize electric power system planning and operations during extreme events such as wildfires and hurricanes. Awarded under the Engineering program (CFDA 47.041), the five-year award to the Georgia Tech Research Corporation from February 2022 to January 2027 aims to address computational challenges associated with power grid nonlinearities, uncertainties from renewable energy...
- Arizona State University was awarded a $500,000 Project Grant from the National Science Foundation Division of Electrical, Communications and Cyber Systems. The award is part of NSF's Engineering program (CFDA 47.041) to support CAREER: FAITHFUL, REDUCIBLE, AND INVERTIBLE LEARNING IN DISTRIBUTION SYSTEM FOR POWER FLOW. Under this five-year project grant awarded February 1, 2021 with a completion date of January 31, 2026, Arizona State University will conduct research at its Tempe, Arizona campus...
- This $294,555 Project Grant from the National Science Foundation's Division of Chemical, Bioengineering, Environmental, and Transport Systems, within the Engineering program (CFDA 47.041), will fund research at San Diego State University to develop neural network-based preconditioning methods to improve the computational efficiency of chemical property evaluations in reactive flow simulations. Specifically, the grantee will combine machine learning and adaptive tabulation approaches to more...
San Diego State University Foundation, doing business as San Diego State University Research Foundation, received a $200,000 Project Grant award from the National Science Foundation under the Engineering program (CFDA 47.041) to develop an agile decision support system for resilient operational planning of the electricity grid under wildfire risk. The two-year project aims to quantify individual power line wildfire ignition risk using differentiable programming accounting for meteorological and structural characteristics. An AI-based surrogate model will provide normalized risk scores integrated into an operational planning framework considering short and long-term grid decisions under extreme weather wildfire conditions. Advanced machine learning techniques will systematically expedite problem-solving to enable more efficient, practical solutions for urgent decision-making. Preliminary results indicate significant solution time improvements with minimal quality impacts. The award supports the Foundation's applied research mission and the program's goals of fostering engineering innovation for societal and economic benefit.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $200.0k | 6/1/23 |