Project Grant 2610262
- Lehigh University was awarded a $431,508 project grant from the National Science Foundation to develop data-driven algorithms for dynamic state-estimation of modern power systems. The three-year award, issued under the NSF's Engineering program (CFDA #47.041), aims to transform dynamic state-estimators through the use of machine learning and signal processing techniques applied to available measurements. This will generate new knowledge on monitoring modern power systems and improve smart grid...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded Lehigh University a $533,119 CAREER (Faculty Early Career Development) Project Grant effective April 15, 2026, through March 31, 2031, under the Engineering program (CFDA 47.041). The award funds fundamental research on geometry-based control methods for nonlinear distributed energy resources (DERs) in smart grids. The project delivers research outputs and...
- The National Science Foundation's Directorate for Engineering (CFDA 47.041) awarded $383,362 to the Trustees of Boston University on September 1, 2026, for a three-year research project (completion date: August 31, 2029) titled "Dynamic and Safe Optimization-Based Control for Reliable Power Grids." This award funds fundamental research to develop advanced control algorithms and analytical methods that enable electric power grids to operate safely and reliably under uncertain, real-time...
- Federal Grant Award Summary This $392,839 Project Grant, awarded by the National Science Foundation (NSF) Directorate for Engineering (CFDA 47.041) and effective August 1, 2026 through July 31, 2029, supports research at Arizona State University to develop advanced analytical and control methods for large-scale nonlinear power systems. The project applies converse Lyapunov theory to create scalable algorithms that improve power grid stability analysis and control by exploiting network...
- 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...
- Federal Grant Award Summary Cornell University's Office of Sponsored Programs received a $583,747 Project Grant from the National Science Foundation (NSF) Directorate for Engineering (CFDA 47.041) on July 15, 2026, with a completion date of June 30, 2029. The award funds research investigating resource colocation as an alternative paradigm for integrating large electricity loads—specifically gigawatt-scale artificial intelligence (AI) data centers and electrified manufacturing facilities—into...
- 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...
- This federal Project Grant award, totaling $199,996 and provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, supports the development of a novel AI-surrogate enhanced cyberinfrastructure to accelerate power grid simulations. The key innovations being delivered under this 3-year project (5/1/2025 - 4/30/2028) include: (1) program-behavior analysis to identify optimal code regions for AI surrogate replacement, (2) semi-automatic AI...
- This $100,000 National Science Foundation Project Grant supports research at the University of Washington to develop a new data-driven power systems control framework with stability guarantees. Funded under the NSF Engineering program (CFDA 47.041), the research aims to design reinforcement learning algorithms for inverter-based frequency and voltage control of power grids that provide formal stability assurances. Over the two-year period from March 2022 to February 2025, university...
- This $199,964 federal Project Grant awarded by the National Science Foundation (NSF) Engineering program (CFDA 47.041) will fund research at the University of California, Santa Barbara (UCSB) to address challenges and opportunities presented by the rapid proliferation of grid-edge resources (GERs) in modern power systems. The project aims to develop novel data-driven control strategies and advance the understanding of GER behavior to ensure the safe and secure operation of these distributed...
Lehigh University's Office of Research received a $518,881 Project Grant award from the National Science Foundation (NSF) Directorate for Engineering (CFDA 47.041) on July 15, 2026, to develop foundational research on power-grid stability in inverter-dominated electrical systems supporting hyperscale artificial intelligence (AI) data centers. The project will establish a comprehensive multi-timescale modeling and control framework to analyze how large-scale AI data center loads interact dynamically with inverter-based resources and future power grids. Research deliverables will include new failure mechanism identification, predictive cyber-physical control strategies to enhance grid resilience, and fundamental knowledge advancement regarding power-system stability in the presence of hyperscale AI infrastructure. The research will produce tangible products and resources for the broader energy infrastructure community through the development of open-source tools and datasets available to researchers and practitioners, informing future grid interconnection and planning decisions for AI data centers. Educational outcomes will contribute to workforce development at the intersection of power systems, cybersecurity, AI, and critical infrastructure resilience. The project is scheduled for completion by June 30, 2029, and will advance national energy infrastructure reliability and security during a critical transition period toward inverter-dominated grid systems.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $518.9k | 7/10/26 |