Project Grant 2551716
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded the University of Southern California $300,000 on August 15, 2026, under the Engineering program (CFDA 47.041) to design network infrastructures for reliable wide-area control of power systems serving large electronic loads such as AI data centers, crypto mining centers, and high-performance computing centers. The award funds development of FRELCO (Fast, Resilient, Load-Aware, Cost-Optimal) grid...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded Massachusetts Institute of Technology $350,000 on August 15, 2026, for collaborative research on wide-area control architectures for electric power systems serving large electronic loads including AI data centers, crypto mining centers, and high-performance computing facilities. The project develops optimal control algorithms, termed FRELCO (fast, resilient, load-aware, and cost-optimal), to dampen...
- The National Science Foundation Office of Advanced Cyberinfrastructure awarded North Carolina State University $300,000 on January 1, 2027, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop and deliver workforce training in artificial intelligence-enabled power grid research. The project, titled POWERCYBER: Scalable Workforce Development for AI-Enabled Power Grids, prepares faculty, postdoctoral researchers, and graduate students to integrate power...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded Lehigh University $518,881 on July 15, 2026, under the Engineering program (CFDA 47.041) to develop a multi-timescale modeling and control framework for large-scale power grids containing hyperscale artificial intelligence data centers and high penetrations of inverter-based resources. The project addresses cyber-physical risks and grid stability as hyperscale data centers supporting cloud...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded the University of Washington $300,000 on October 1, 2026, under the Engineering program (CFDA 47.041) to develop a unified modeling, analysis, and control framework for understanding interactions between data centers and electric power systems. The project develops reduced-order models of data-center power-electronic systems to characterize how internal converters, control loops, and energy-storage...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded Arizona State University two hundred thousand dollars on October 1, 2026, under the Engineering program (CFDA 47.041) to develop unified modeling, analysis, and control frameworks for understanding interactions between data center power-electronic systems and the electric grid. The research establishes reduced-order models characterizing how internal power converters, control loops, and...
- The National Science Foundation Division of Information and Intelligent Systems awarded North Carolina State University $500,000 on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop FLEXSCALE, a dynamic power-steering approach for operating high-performance computing systems under variable power availability and electricity prices. FLEXSCALE establishes abstractions, models, and algorithms for coordinating job elasticity, scheduling,...
- The National Science Foundation Office of Advanced Cyberinfrastructure awarded Virginia Polytechnic Institute & State University $1.2 million on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to investigate power-related vulnerabilities in AI data centers and their interactions with power grids. The project characterizes vulnerabilities arising from high-density accelerators and energy-intensive computing in AI facilities, focusing on...
- This National Science Foundation (NSF) Engineering Directorate (CFDA 47.041) Project Grant award of $397,000.00 to North Carolina State University (NC State) aims to develop an Artificial Intelligence Engineering System Analysis Assistant (AIESAA) to automate the creation of integrated transmission-distribution grid models. Key objectives include: Leveraging advanced machine learning techniques to streamline three crucial modeling tasks: scenario classification, reduced-order model selection and...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded the University of Denver $314,144 on August 15, 2026, for physics-grounded deep reinforcement learning research aimed at adaptive out-of-step protection in low-inertia power grids under the Engineering program (CFDA 47.041). The project develops an artificial intelligence framework that enables protective relays to continuously adapt their behavior based on real-time grid conditions rather than...
The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded North Carolina State University $350,000 on August 15, 2026, under the Engineering program (CFDA 47.041) to design network infrastructures for reliable wide-area control of power systems serving large electronic loads such as AI data centers, crypto mining centers, and high-performance computing centers. The research will develop a massively deployable cyber-physical architecture called the FRELCO Grid—fast, resilient, load-aware, and cost-optimal—consisting of optimal control algorithms for damping oscillations in power flows and voltages, implemented on a cost-effective and cyber-secure computing infrastructure connected by high-speed wide-area networks dynamically programmable in tandem with AI workloads. The project will integrate wide-area measurement system technology with large load models and inverter-based resources, addressing open questions on data center scheduling, financial contracting, and stability concerns. Experimental demonstrations will use the SPHERE testbed developed at a partner institution through the NSF Midscale Research Infrastructure Program. The research will increase the technology readiness level of wide-area control and support sustainable architecture for the nation's AI-integrated energy infrastructure. Broader impacts include development of new cyber-physical systems curricula in power systems, controls, and power electronics; joint publications; special conference sessions; and industry collaborations. Performance of work occurs in Raleigh, North Carolina, with completion scheduled for July 31, 2029.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $350.0k | 8/10/26 |