Project Grant 2305432
- 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...
- The National Science Foundation (NSF) awarded a $350,000 Project Grant to Northeastern University under the Engineering program (CFDA 47.041) to develop a robust and efficient state estimator that can trace the fast dynamics of inverter-based renewable energy sources. The project aims to enable effective control feedback signals and facilitate the integration of these renewable sources into power grids, resulting in cleaner, less costly, and more reliable energy delivery. Key aspects of the...
- The National Science Foundation awarded a $361,820 Project Grant to the Regents of the University of Minnesota under the Engineering (47.041) federal grant program. The three-year award will fund research to develop computational methods for coordinating industrial process networks in a highly electrified chemical industry. Specifically, the university researchers will design new cooperative optimization and market mechanisms to facilitate demand response, provision of interruptible load, and...
- The National Science Foundation (NSF) awarded a $250,000 Project Grant under the Engineering program (CFDA 47.041) to the University of Vermont & State Agricultural College (UVM) to develop a generalized distributed framework for solving large-scale power grid problems. The project aims to advance the state-of-the-art in nonlinear programming, physics-inspired graph-partitioning, and combinatorial optimization to enable fast and robust simulations and optimizations of the future power...
- 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...
- 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 $145,871 Project Grant under the NSF Engineering program (CFDA 47.041) to the Regents of the University of California at Riverside (UC Riverside) to develop novel data-driven control methods for the safe and secure operation of grid-edge resources (GERs) in modern power systems. The research aims to address the challenges and opportunities presented by the rapid proliferation of distributed energy resources, such as renewable generators, smart...
- This NSF Directorate for Engineering (CFDA 47.041) project grant award to the New Jersey Institute of Technology (NJIT) for $1,499,991 from September 1, 2023 to August 31, 2027 aims to develop a unified framework for modernizing power systems and integrating multiple renewable energy resources. The project, titled "ASCENT: From Sensors to Multiscale Digital Twin to Autonomous Operation of Resilient Electric Power Grids," will leverage advancements in control, power electronics, and...
- 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 $350,000 federal Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) aims to develop a new reduced-order dynamic modeling paradigm for accurately representing the impacts of massive distributed energy resource (DER) integration in carbon-neutral power systems. The project, awarded to Arizona State University, will leverage tools in dynamic systems, nonlinear system identification, and machine learning to create physics-based and machine...
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 objectives include creating comprehensive modeling and analysis methods for stable and predictable analog/hybrid computers, developing an open-source design automation tool, and assessing the performance benefits compared to digital computing for power and energy system applications. This award falls under NSF's Engineering (CFDA 47.041) program, which seeks to foster innovation and excellence in engineering research and education to strengthen the nation's economic competitiveness.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $229.1k | 7/25/23 |