Project Grant 2525884
- The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded $500,167 to the University of Texas at Arlington under the Engineering program (CFDA 47.041) for a five-year CAREER project running from October 1, 2025, through September 30, 2030. This project delivers research and analytical frameworks focused on enhancing power system stability through grid-forming control (GFM) modes of inverter-based resources (IBRs). The primary deliverables include...
- 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 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...
- This $249,980 National Science Foundation (NSF) EAGER project grant awarded to North Dakota State University (NDSU) aims to develop a novel network-based framework for analyzing and mitigating sub-synchronous oscillations in inverter-dominated power grids. The project will provide new insights into the mechanisms driving these oscillations, which can jeopardize grid stability and reliability as renewable energy sources with inverters are increasingly integrated. The framework is expected to...
- 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)...
- This $500,000 National Science Foundation (NSF) CAREER award, under the Engineering program (CFDA 47.041), aims to improve the computational efficiency of economics-driven transmission planning for electric power systems by up to three orders of magnitude. The project, awarded to the University of Missouri System's Missouri University of Science & Technology, will develop a multi-faceted framework that integrates innovations in modeling, simulation, computing, and design to transform lengthy...
- 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 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 $200,000 National Science Foundation project grant supports the development of data-driven power systems control with stability guarantees. Funded through the NSF Engineering program (CFDA 47.041), the award to Carnegie Mellon University will support three thrusts of collaborative research over a 30-month period ending February 2025. The research aims to design a new framework integrating reinforcement learning algorithms with Lyapunov stability theory to provide stability guarantees for...
- Federal Project Grant Summary San Diego State University Research Foundation received a $550,000 CAREER award from the National Science Foundation (NSF) Directorate for Engineering (CFDA 47.041), effective May 1, 2026 through April 30, 2031, to develop distributed intelligence solutions for enhancing the stability and resilience of electric power networks with heterogeneous energy resources (EERs). The project will deliver two primary products: DI-1, a power-electronic interface capable of...
CAREER: MULTI-TIMESCALE DYNAMICS MODELING, SIMULATION, AND ANALYSIS OF CONVERTER-DOMINATED POWER SYSTEMS -THIS NSF CAREER PROJECT AIMS TO INVESTIGATE POWER SYSTEM DYNAMICS WITH LARGE-SCALE INTEGRATION OF INVERTER-BASED RESOURCES (IBRS), WHICH CHALLENGES THE EXISTING FRAMEWORKS OF STABILITY SIMULATION AND ANALYSIS. THE PROJECT WILL BRING TRANSFORMATIVE CHANGE TO POWER SYSTEM DYNAMICS STUDIES AND IMPROVE THE ACCURACY AND EFFICIENCY FOR CAPTURING DYNAMIC RESPONSES IN BOTH FAST THE SLOW TIME-SCALES. THIS WILL BE ACHIEVED BY CREATING A UNIFIED FRAMEWORK THAT BLENDS FAST TRANSIENTS WITH SLOW DYNAMICS AND SELECTING DYNAMICS THROUGH TRANSFORMATION, SIMPLIFICATION, AND NUMERICAL METHODS. THE INTELLECTUAL MERITS OF THE PROJECT INCLUDE ESTABLISHING A UNIFIED SYMBOLIC FRAMEWORK FOR DEVICE- AND SYSTEM-LEVEL MODELING, DEVELOPING ADVANCED ANALYTICAL METHODS FOR STABILITY ANALYSIS, AND CREATING EFFICIENT SIMULATION ALGORITHMS, ALL AIMED AT IMPROVING GRID SIMULATIONS UNDER COMPLEX, MULTI-TIMESCALE DYNAMICS. THE BROADER IMPACTS OF THE PROJECT INCLUDE ENHANCING OPEN-SOURCE INFRASTRUCTURES FOR POWER ENGINEERING RESEARCH AND EDUCATION, CULTIVATING PUBLIC INTEREST AND KNOWLEDGE OF RENEWABLE ENERGY THROUGH INNOVATIVE OUTREACH PROGRAMS, AND ENGAGING UNDERREPRESENTED STUDENTS WITH HANDS-ON EXPERIENCES IN RENEWABLE ENERGY TECHNOLOGIES. THE LARGE-SCALE INTEGRATION OF CONVERTERS AND IBRS HAS SIGNIFICANTLY IMPACTED POWER SYSTEM DYNAMICS. TRADITIONALLY, THE NOTION OF TIME-SCALE SEPARATION FACILITATED A CLASSIFICATION BETWEEN COMPONENT-LEVEL FAST ELECTROMAGNETIC TRANSIENTS AND SYSTEM-LEVEL SLOW-VARYING ELECTROMECHANICAL STABILITY. THIS SEPARATION, HOWEVER, IS BEING CHALLENGED BY IBRS, WHICH INTERACT WITH BOTH FAST NETWORK TRANSIENTS AND SLOW ELECTROMECHANICAL DYNAMICS. THIS PROJECT AIMS TO UNDERSTAND HOW NETWORK TRANSIENTS, SWITCHED CONVERTERS, AND ELECTROMECHANICAL DYNAMICS CAN BE UNIFORMLY MODELED, RIGOROUSLY ANALYZED, AND EFFICIENTLY SIMULATED. SPECIFICALLY, THE PROJECT WILL 1) ESTABLISH A SYMBOLIC FRAMEWORK FOR FORMULATING COMPONENT DYNAMICS BY SWITCHED DIFFERENTIAL ALGEBRAIC EQUATIONS (DAE), WHICH WILL ENABLE THE TRANSFORMATION AND SIMPLIFICATION OF MODELS IN A PRINCIPLED MANNER; 2) ESTABLISH ANALYTICAL METHODS TO CHARACTERIZE THE OSCILLATORY PROPERTIES OF SMALL-SIGNAL MODELS, INCLUDING ASSESSING THE IMPACT OF UNCERTAINTY ON EIGENVALUES AND TIMESCALE SEPARATION; AND 3) DEVELOP EFFICIENT SIMULATION METHODS FOR SWITCHED DAE PROBLEMS IN BOTH THE TIME DOMAIN AND DYNAMIC PHASOR DOMAIN, CREATING ALGORITHMS THAT LEVERAGE THE PROPERTIES OF THE MATHEMATICAL MODELS TO SPEED UP COMPUTATIONS WHILE MAINTAINING ACCURACY. THIS AWARD REFLECTS NSF'S STATUTORY MISSION AND HAS BEEN DEEMED WORTHY OF SUPPORT THROUGH EVALUATION USING THE FOUNDATION'S INTELLECTUAL MERIT AND BROADER IMPACTS REVIEW CRITERIA.- SUBAWARDS ARE NOT PLANNED FOR THIS AWARD.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $105.2k | 7/16/25 | ||
| Not listed | $394.8k | 5/28/25 |