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) 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 National Science Foundation (NSF) CAREER grant under CFDA 47.041 "Engineering" provides $394,768 to North Carolina State University to investigate power system dynamics with large-scale integration of inverter-based resources. The project aims to establish a unified framework for modeling, analyzing, and simulating the interaction between fast network transients, switched power converters, and slow electromechanical dynamics in converter-dominated power systems. Key objectives...
This $295,149 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) aims to address protection challenges arising from the increasing penetration of renewable energy in modern electric grids. The University of Denver is the prime recipient, and the project will run from August 1, 2024 to July 31, 2027. The project will explore novel model-driven and data-driven solutions to ensure dependable fault detection and secure relay operation for power grids...
This Project Grant award of $1,233,079.00 from the National Science Foundation (NSF) Engineering Directorate (CFDA 47.041) aims to develop a comprehensive theoretical framework for modeling, designing, sensing, and controlling the post-fault stability of future power systems with varying levels of inverter-based resources and synchronous generators. The key products and services to be delivered under this grant include: Establishing the theoretical foundations of energy functions for...
This National Science Foundation (NSF) Engineering Research Initiation (ERI) project grant, awarded under CFDA 47.041 - Engineering, aims to develop advanced real-time fault diagnosis tools to enhance the stability, security, and resilience of electric power grids. The $199,998 award, effective June 15, 2025 through May 31, 2027, will support the development of a novel real-time digital signal processing theory using wavelet transform techniques. This new theory will enable rapid detection 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 $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...
This National Science Foundation (NSF) Integrative Activities (CFDA 47.083) Project Grant award of $762,500 aims to enhance the stability, resilience, and cybersecurity of the U.S. power grid. The project will acquire a real-time simulator that will allow the research team and other researchers to study power grid dynamics and performance, and develop, test, and validate new solutions to harden the grid against extreme weather events and cyber-attacks. The key products and services to be...
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...