The National Science Foundation awarded a $280,000 Project Grant to the University of Texas at Austin under the Engineering (47.041) federal grant program. The award will support research and development of grid-forming inverter technologies to advance the energy transition and increase renewable energy grid integration. Key deliverables include optimization of grid-forming voltage control loops; development of advanced functionalities for three-port microinverters integrating solar, storage and...
The University of South Florida received a $350,000 project grant award from the National Science Foundation to develop dynamic model identification techniques for inverter-based distributed energy resources. Funded under the NSF Engineering program (CFDA 47.041), this three-year award running from May 2021 through April 2024 aims to improve understanding and control of inverters that interface distributed generation systems such as solar panels to the electric grid. By advancing inverter...
This $274,995 federal Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) aims to develop new techniques for fault detection in inverter-dominated power systems. The project, titled "Collaborative Research: Auxiliary Signal-Based Fault Detection in Inverter-Dominated Power Systems," will create innovative fault detection schemes that leverage auxiliary signals injected by inverters to distinguish normal operation from faults. The research will...
This $275,000 Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) aims to develop new techniques for fault detection in inverter-dominated power systems. The project will design auxiliary signal-based fault detection schemes to improve reliability in power grids with high penetration of renewable energy resources like wind and solar, which can pose challenges for conventional detection methods. The research will characterize the necessary auxiliary...
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 program project grant to the University of Tennessee aims to develop a unified multi-timescale modeling and simulation framework for analyzing the complex dynamics of inverter-dense power grids integrating renewable energy resources. The $350,257 award, with a project period from Mar 1, 2024 to Feb 28, 2027, will establish heterogeneous multiscale methods and semi-analytical solution techniques to enable accurate and efficient power system...
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 (NSF) Division of Electrical, Communications and Cyber Systems awarded the University of Texas at Austin a $250,000 Project Grant under the NSF Engineering program (CFDA 47.041) to develop novel learning-based approaches for estimating the flexibility amount of grid edge resources (GERs) and designing equitable resource coordination and management methods. The project aims to transform the management of flexible energy resources in distribution electricity...
This National Science Foundation (NSF) Engineering program (CFDA 47.041) award of $394,768 to North Carolina State University (NC State) from October 1, 2024 to August 31, 2029 aims to investigate power system dynamics with large-scale integration of inverter-based resources. The project will establish a unified symbolic framework for modeling device- and system-level dynamics, develop advanced analytical methods for stability analysis, and create efficient simulation algorithms to improve...
The National Science Foundation (NSF) Engineering program awarded a $135,956 project grant to South Dakota State University (SDSU) to develop a highly efficient, modular, and scalable power system that integrates photovoltaic, energy storage, and smart micro-inverter technologies. The goal is to create a novel power conversion system architecture and control capabilities to enable greater penetration of solar energy into the electric grid and support grid stability and resilience. The key...