Cooperative Agreement DEEE0007597

The National Science Foundation (NSF) awarded a $267,323 Project Grant to the CAL Poly Corporation at California Polytechnic State University, San Luis Obispo. The grant, funded through the NSF Directorate for Engineering (CFDA 47.041), supports the development of new computing methods to improve the reliability, efficiency, and sustainability of the electric power grid. Specifically, the project team will research electronic analog and hybrid computing approaches to address challenges...

This three-year, $144,994 project grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop a cyber resilient virtual power plant network for growing power demands. Specifically, the award supports designing and implementing a 5G-enabled smart artificial intelligence-based microinverter for a pole-mounted solar power system with energy storage. This virtual power plant will be connected to low-voltage distribution networks and...

Cooperative Agreement Summary Arizona State University (ASU) received a $1.51 million Cooperative Agreement from the Department of Energy's Office of Electricity Delivery and Energy Reliability under the Electricity Research, Development and Analysis program (CFDA 81.122) for the period September 1, 2025 through August 30, 2028. The project, "Data-Driven Reliable and Resilient Operation of Active Transmission and Distribution Systems," focuses on researching, developing, and...

This collaborative research project grant, awarded by the National Science Foundation's Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049), provides $240,000 in funding to UC Riverside over a three-year period (July 1, 2025 – June 30, 2028). The project develops advanced topological and computational modeling frameworks to improve the integration and control of ultra-high-dimensional distributed energy resources within modern power transmission...

This National Science Foundation Project Grant of $993,643 will fund the acquisition of a large-scale real-time digital simulator for cyber-physical energy systems at the University of Nevada, Reno from September 1, 2022 to August 31, 2025. The simulator will allow researchers to model power grids incorporating events like natural disasters, communication failures and cyberattacks. This equipment, called a real-time digital simulator, will enable multi-disciplinary research, education and...

The National Science Foundation (NSF) Directorate for Engineering awarded a $229,135 Project Grant to the Regents of the University of Minnesota to develop new computing methods aimed at improving the reliability, efficiency, and sustainability of the electric grid. The project will explore the use of electronic analog and hybrid computing approaches to address challenges posed by the rapid adoption of distributed energy resources, such as solar and wind power, and electric vehicle charging. Key...

Federal Cooperative Agreement Summary The Regents of the University of California at Riverside received a $1.47 million Cooperative Agreement from the Department of Energy's Office of Electricity Delivery and Energy Reliability under the Electricity Research, Development and Analysis program (CFDA 81.122) for the period October 1, 2025 through September 30, 2028. The project delivers advanced machine learning-based analytics solutions designed to enhance power system reliability and resilience...

This Project Grant award of $1,233,079.00 from the National Science Foundation (NSF) Engineering Directorate (CFDA 47.041) aims to develop a comprehensive theoretical framework for modeling, designing, sensing, and controlling the post-fault stability of future power systems with varying levels of inverter-based resources and synchronous generators. The key products and services to be delivered under this grant include: Establishing the theoretical foundations of energy functions for...

This $199,339 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program to the California State University San Marcos Corp (CSUSM) will develop novel AI and machine learning models for supervisory control of wind farm connections to the electric grid for stability monitoring. The project aims to create innovative AI/ML models that can directly analyze raw power data to enable accurate fault prediction and detection, which...

This federal Project Grant award, totaling $199,996 and provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, supports the development of a novel AI-surrogate enhanced cyberinfrastructure to accelerate power grid simulations. The key innovations being delivered under this 3-year project (5/1/2025 - 4/30/2028) include: (1) program-behavior analysis to identify optimal code regions for AI surrogate replacement, (2) semi-automatic AI...