This National Science Foundation (NSF) Major Research Instrumentation (MRI) Program grant, under the Integrative Activities (CFDA 47.083) program, awarded $296,098 to Boise State University to acquire a state-of-the-art digital real-time simulator (DRTS). This powerful, flexible, and computationally superior instrument will be used to support multi-disciplinary research and student training across areas such as power systems, robotics, and cyber-physical security. Key planned research activities...
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 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 $199,998 Project Grant award was provided by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041) to Michigan Technological University. The award supports the development of a novel real-time digital signal processing theory and diagnostic tools to enhance the stability, security, and resilience of electric power grids. The project aims to create advanced wavelet transform techniques capable of rapidly identifying and responding to faults in complex power...
This Project Grant award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program provides $365,897 to the Regents of the University of Michigan - University of Michigan-Dearborn to enhance grid reliability and stability through the integration of distributed energy resources. Key goals include developing fundamental knowledge to assess real-world power grid reliability, novel control algorithms to improve grid stability, and a shared platform for...
This $240,000 Project Grant award from the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) Federal Grant Program supports collaborative research on developing advanced topological modeling and machine learning techniques for integrating ultra-high-dimensional distributed energy resources into wide-area power transmission networks. The project aims to transcend the limitations of conventional grid topology models by creating a data-adaptive graph...
This five-year, $455,004 Project Grant from the National Science Foundation's Engineering program (CFDA 47.041) will support research and education activities aimed at developing a robust decision-making framework to achieve decarbonized, cost-effective and reliable electric power systems under climate change. The awardee, the Regents of the University of Michigan, will conduct modeling and analysis to understand how power systems can reduce carbon emissions while maintaining reliability as...
This National Science Foundation (NSF) Engineering (CFDA 47.041) project grant award to Iowa State University of Science and Technology totaling $411,904 will develop new methods to accelerate long-term electromagnetic transient (EMT) simulations of electric grids powered by renewable energy resources. The key research objectives are to: Model transmission lines using improved lumped-parameter approaches to minimize simulation errors, Engineer a specialized numerical integration algorithm to...
This Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) aims to enhance electric power grid operators' situational awareness, improve dynamic model quality, and enable online controls to ensure secure power system operation with high penetration of inverter-based resources (IBRs) such as solar, wind, and battery energy storage. The $397,111 award, effective February 1, 2025 through January 31, 2030, will fund research to develop a generalized,...
This $199,105 National Science Foundation project grant in the Engineering program (CFDA 47.041) funds research at Western Michigan University from February 2022 to January 2024 related to optimal design of high frequency transformers for microgrids. The university will develop a multiphysics cosimulation approach to accurately model microgrid system dynamics and interactions with detailed high frequency transformer models. This integrated modeling approach aims to enhance transformer design...
This National Science Foundation (NSF) Major Research Instrumentation (MRI) Project Grant, awarded under the NSF Integrative Activities program (CFDA 47.083), provides $762,500 to Michigan State University to acquire a real-time simulator for power grid research. The goal is to enhance the stability, resilience, and cybersecurity of the U.S. power grid by enabling collaborative, multidisciplinary research on power grid dynamics, performance, and new solutions. The simulator will support activities such as developing autonomous microgrid technology, improving grid integration of renewable energy, and enhancing grid cybersecurity to protect against extreme events and cyber-attacks. This instrumentation will enable transformative research while also serving as a valuable training asset for students, engineers, and the power industry workforce. No sub-awards are planned under this grant.