Project Grant 2502269
- The National Science Foundation (NSF) awarded a $290,477 Project Grant under the Engineering program (CFDA 47.041) to Tennessee Technological University to conduct collaborative research on mixed-pole, multi-phase synchronous reluctance motor drives. This research explores a new class of electric machines that can improve energy conversion, torque density, and fault tolerance without using rare-earth magnets. The project aims to advance the theory and enable independent modulation of multiple...
- 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...
- This NSF ERI Project Grant, awarded by the National Science Foundation's Division of Electrical, Communications and Cyber Systems, aims to develop real-time short-circuit (fault) diagnosis tools to enhance the stability, security, and resilience of electric power grids. The $199,998 award to Michigan Technological University will fund the development of a novel real-time digital signal processing theory and advanced diagnostic tools capable of rapidly identifying and responding to faults in...
- This $225,000 National Science Foundation (NSF) Project Grant award under the CFDA 47.041 Engineering program aims to develop a physics-informed, real-time optimal power flow model using machine learning techniques. The project seeks to address gaps in providing close to optimal solutions for power plant outputs while considering practical dynamical constraints to avoid frequency fluctuations and grid instabilities. The key scientific and engineering contributions include: (1) advancements in...
- This National Science Foundation (NSF) Engineering Research Initiation (ERI) Project Grant award for $199,999 aims to develop an advanced insulation system using polymer nanocomposites to address the accelerated aging of motor winding insulation introduced by modern power electronics. The project, under the NSF Engineering Program (CFDA 47.041), will integrate numerical modeling and experimental validation to design nanocomposite insulation materials with tailored dielectric properties. This...
- This Project Grant from the National Science Foundation's $200,000 Engineering program (CFDA 47.041) will fund research at the University of California, San Diego to develop a new data-driven power systems control framework with stability guarantees. The three-year award beginning March 2022 aims to design reinforcement learning algorithms for inverter-based frequency and voltage control of power grids that provide formal stability through a novel approach bridging Lyapunov control theory and...
- 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) 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 Project Grant award of $450,000 from the Directorate for Engineering (CFDA #47.041) aims to address oscillation issues in power grids with high levels of renewable energy generation. The key efforts include: Developing scalable, computationally manageable, and linearized models to simulate power grid dynamics and the associated cyber layer with realistic impacts like data packet drops and delays. Designing a centralized damping control scheme that uses phasor measurement unit (PMU)...
- 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) Engineering Research Initiation (ERI) Project Grant, CFDA 47.041, aims to develop a control algorithm that allows active power filters to compensate for unwanted current components in three-phase induction motors when their supply voltages are unbalanced. The $181,856 award to Louisiana Tech University will fund research to advance fundamental understanding of induction motor operation under voltage unbalance conditions and deliver the first control algorithm that can fully compensate for these issues. The broader impacts include reducing energy delivery losses and costs, improving power quality, enhancing grid resiliency, and providing hands-on research training for students to address future energy challenges. The 2-year project will proceed through four integrated objectives, including developing theoretical foundations, deriving control equations, and validating the algorithm through simulation and experiments.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $181.9k | 7/31/25 |