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...
The National Science Foundation (NSF) awarded a $250,000 Project Grant to Carnegie Mellon University (CMU) under the Engineering program (CFDA 47.041). The grant supports the development of a "Collaborative Research: Scalable Circuit Theoretic Framework for Large Grid Simulations and Optimizations" project. The project aims to create a generalized distributed framework for solving large-scale power grid problems that are both fast and robust, enabling transformative changes in future...
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...
The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded a $239,503 Project Grant to The University Of Kentucky Research Foundation under the NSF's Engineering grant program (CFDA 47.041). The purpose of the grant is to develop data-driven digital twin models for solid-state transformers (SSTs) to improve their reliability and enable wider adoption in future power systems and transportation electrification. Specifically, the project will establish an...
The National Science Foundation (NSF) Engineering Program awarded The Trustees of Princeton University's Office of Research and Project Administration a $338,926 Project Grant to conduct fundamental research on modeling and designing complex power magnetic components for electrical power converters. The goals are to develop systematic methods for modeling and designing multi-winding power magnetics, create software tools for optimal power magnetic design, and demonstrate the effectiveness of the...
This $223,406 National Science Foundation project grant, awarded under the Engineering program (CFDA 47.041), will fund the development of novel optimization models and algorithms for the operation of future electric power systems at the Massachusetts Institute of Technology from January 2023 through February 2024. Specifically, the principal investigator will create efficient and robust algorithms for optimizing power flow and network topology to support the integration of renewable, demand...
The National Science Foundation (NSF) Directorate for Engineering (CFDA 47.041) awarded a $448,149 Project Grant to Regents Of The University Of Michigan on September 1, 2023. The grant will fund research to enable renewable energy generation systems, such as wind turbines and kites, to operate optimally over a wide range of environmental conditions. This will promote the progress of science and advance national prosperity by developing a framework for real-time co-design and control of...
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...
The National Science Foundation (NSF) Engineering program (CFDA 47.041) awarded a $129,783 Project Grant to Mississippi State University to explore the foundation and take initial steps toward establishing a taxonomy of optimal control architectures and design algorithms for power electronic converters used to integrate diverse energy systems, such as solar photovoltaics, wind, and battery energy storage, into the electricity network. The project aims to develop transformative control...
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 $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 optimization to maximize efficiency, lifespan and power density under various steady state and transient microgrid conditions. Outcomes expect to advance widespread adoption of solid state transformers in microgrids and distribution systems, supporting more resilient and sustainable power delivery with renewable energy integration.