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 National Science Foundation (NSF) EAGER (Encouraging Innovation) grant, awarded under CFDA 47.041 (Engineering program), provides $249,784 to Western Michigan University to conduct research on self-healing and self-characterization approaches for electro-mechanical energy conversion systems. The project aims to investigate self-optimizing extremum-seeking control methods that allow these critical systems to automatically diagnose faults, mitigate issues, and optimize performance without...
The National Science Foundation awarded a $401,696 Project Grant to the University of Texas at Dallas under the Engineering program (CFDA 47.041) for the period of October 1, 2022 to April 30, 2025. The award will support research to characterize, model, and mitigate the accelerated aging of electrical insulation systems exposed to high slew rate and repetitive voltage pulses generated by emerging wide bandgap power electronics. The grantee will conduct experimental investigations to...
This $400,000 Project Grant awarded by the National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems under CFDA No. 47.041 Engineering aims to revolutionize the design of learning-enabled, safety-critical systems with a focus on power systems. The project at the University of California, Berkeley will introduce the concept of "antifragility" to promote system enhancement through change and uncertainty, rather than perceiving them as detriments. Key...
The National Science Foundation (NSF) awarded a $484,965 project grant under the Engineering (CFDA 47.041) program to New York University (NYU) to develop transformative concepts and methodologies to enhance situational awareness of electric power distribution systems. The project aims to address challenges in integrating distributed renewable energy generation by enabling real-time tracking of distribution system operating states. Key objectives include learning-based continuous-time system...
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 five-year $500,000 Project Grant from the National Science Foundation's Engineering program (CFDA 47.041) funds research at the University of California, San Diego to develop next-generation integrated hybrid DC-DC converters. The university will conduct engineering research from February 2021 through January 2026 to foster innovation in converter design for future power systems relying more heavily on direct current transmission. As the NSF Engineering program seeks to improve quality of...
This National Science Foundation project grant of $300,000 supports research at the University of Tulsa to develop a decentralized artificial intelligence framework for distribution system fault detection, identification, and power restoration. Under the NSF Engineering program (CFDA 47.041), the university will create a graph capsule network to recognize spatial and temporal patterns in distribution systems and identify fault types and locations. Researchers will also devise a novel...
This $400,000 Project Grant awarded by the National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems aims to revolutionize the design of learning-enabled, safety-critical systems, with a focus on power systems. The project, titled "COLLABORATIVE RESEARCH: SLES: SAFETY UNDER DISTRIBUTIONAL SHIFT IN LEARNING-ENABLED POWER SYSTEMS", will develop proactive, antifragile systems that can anticipate and adapt to changes, utilize multi-agent systems for...
This National Science Foundation (NSF) Engineering (CFDA 47.041) Project Grant award of $199,998 to Michigan Technological University aims to develop real-time digital signal processing tools using advanced wavelet transform theory to enhance the stability, security, and resilience of electric power grids. The project will create innovative diagnostic capabilities to rapidly identify and respond to faults in complex power systems, including those with increased renewable energy integration and...