Project Grant 2551717
- 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...
- 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 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 Civil, Mechanical, and Manufacturing Innovation awarded Trustees of Boston University $383,362 on September 1, 2026, to develop optimization-based control methods for reliable electric power grid operation under uncertainty. The award supports research through August 31, 2029. The project will create fast, real-time control algorithms that enable power grids to operate safely and efficiently while managing unpredictable conditions and constrained...
- This $223,406 National Science Foundation project grant, awarded under the Engineering program (CFDA 47.041), will fund the development of novel optimization models and algorithms for the operation of future electric power systems at the Massachusetts Institute of Technology from January 2023 through February 2024. Specifically, the principal investigator will create efficient and robust algorithms for optimizing power flow and network topology to support the integration of renewable, demand...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded $199,984 to the University of Michigan-Dearborn on June 1, 2026, under the Engineering Research Initiation program (CFDA 47.041) to develop scalable machine learning frameworks for stability enhancement in inverter-dominated power systems. The project delivers physics-informed neural networks and federated learning methods to estimate real-time power system behavior and recommend corrective...
- 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 Cornell University $583,747 on July 15, 2026, under the Engineering program (CFDA 47.041) to develop scientific foundations, engineering methods, and economic frameworks for resource colocation—pairing large electrical loads with distributed generation and storage resources as an alternative integration paradigm for gigawatt-scale AI data centers and electrified manufacturing facilities. The...
- 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...
- Grant Award Summary Boston University received a $600,000 Project Grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) on June 15, 2025, to develop foundational research and optimization frameworks for flexible artificial intelligence (AI) data centers. Under this award, which extends through May 31, 2028, the institution will deliver a comprehensive data center control framework designed to regulate power consumption...
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 oscillations in power flows and voltages. The system integrates wide-area measurement system technology with large load models and inverter-based resources on a cost-effective, cyber-secure computing infrastructure connected by high-speed, dynamically programmable wide-area networks that reconfigure in tandem with AI workloads. Research addresses scheduling and financial contracting of data centers, stability concerns, and the impact of massive penetration of large electronic loads on conventional power grid dynamics and control. Experimental demonstrations will be conducted using the SPHERE testbed developed at a partner institution through NSF's MIDSCALE Research Infrastructure Program. Deliverables include development of new cyber-physical systems curricula in power systems, controls, and power electronics; joint publications; special conference sessions; and industry collaborations. The work aims to increase the technology readiness level of wide-area control and establish a sustainable architecture for operating future AI-integrated energy infrastructure. Performance occurs in Cambridge, Massachusetts, with performance completion targeted for July 31, 2029. The funding falls under NSF Engineering (CFDA 47.041).
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $350.0k | 8/10/26 |