Project Grant DEOE0000702

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...

This $36,034,716 federal Project Grant award from the U.S. Department of Energy's Grid Infrastructure Deployment and Resilience (CFDA 81.254) program will fund a partnership between the Electric Power Research Institute (EPRI) and a host transmission utility. The project aims to install an Automatic Power Factor Controller (APFC) device, the SmartValve, at an interregional grid tie to reduce tap changes and increase the control range of a Phase Shifting Transformer (PST) across a regional...

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...

Pacific Science & Engineering Group, Inc. was awarded a $200,000 project grant from the Department of Energy Office of Science under the Office of Science Financial Assistance Program (CFDA 81.049) to develop an externalized decision-making user interface for training smart grid operators. The interface aims to help operators of the nation's energy infrastructure learn to manage complex systems. In keeping with the Office of Science's mission to transform understanding of nature 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...

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...

This $3.75 million project grant from the National Science Foundation's Computer and Information Science and Engineering program will support the augmentation of the Chrono computer simulation platform at the University of Wisconsin-Madison from July 2022 through June 2025. Chrono is an open-source simulation engine used across multiple fields to model interactions between mechanical systems, environments, and humans in applications like lunar rover engineering, vehicle design, wind turbines,...

Diversified Technologies, Inc. received a $199,615 project grant award from the Department of Energy Office of Science under the Office of Science Financial Assistance Program (CFDA 81.049) to develop solid state circuit breaker (SSCB) technology from June 28, 2021 through March 27, 2022. The Office of Science's program supports scientific research advancing the nation's energy and economic security through basic research projects. This award aimed to deliver SSCB prototypes, which could improve...

GRANT AWARD SUMMARY Kansas State University received a $349,969 Project Grant award from the National Science Foundation's Division of Mathematical Sciences (CFDA 47.049 - Mathematical and Physical Sciences program) on August 15, 2025, for the "AMPS - Optimal Transport Algorithms for Power System Analysis and Control" initiative. The project, scheduled for completion by July 31, 2028, will develop advanced algorithms based on optimal transport theory to address data analysis challenges...

The National Science Foundation (NSF) Directorate for Engineering has awarded The Research Foundation for the State University of New York (RF-SUNY) a $240,497 Project Grant under the Engineering program (CFDA 47.041) to develop data-driven digital twin models for solid-state transformers (SSTs) to improve their reliability. The key objectives of this 3-year project are to: 1) develop online health monitoring and diagnostics capabilities to predict and prevent failures of SST components,...