Project Grant 2504084
- This NSF Engineering program (CFDA 47.041) grant awarded to Trustees of Boston University for $258,677 provides funding to develop real-time optimization and control approaches for distributed energy resources (DERs) in power grids. The research aims to overcome barriers to large-scale DER integration, including degraded power quality/reliability and the inability of existing optimization approaches to match power system dynamics. The project will create feedback-based online algorithms to...
- 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...
- This $400,000 Project Grant awarded by the National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems under CFDA No. 47.041 Engineering aims to revolutionize the design of learning-enabled, safety-critical systems with a focus on power systems. The project at the University of California, Berkeley will introduce the concept of "antifragility" to promote system enhancement through change and uncertainty, rather than perceiving them as detriments. Key...
- The National Science Foundation (NSF) awarded a $484,965 project grant under the Engineering (CFDA 47.041) program to New York University (NYU) to develop transformative concepts and methodologies to enhance situational awareness of electric power distribution systems. The project aims to address challenges in integrating distributed renewable energy generation by enabling real-time tracking of distribution system operating states. Key objectives include learning-based continuous-time system...
- This Project Grant award of $454,953 from the National Science Foundation's Engineering program (CFDA 47.041) aims to advance the science of optimization to enhance the reliability and efficiency of critical national infrastructure. The project, titled "Embodied Optimization for Decision-Making in Dynamic and Uncertain Environments," will develop methods to adaptively formulate and solve optimization problems in open-ended, uncertain environments through theoretical foundations,...
- The National Science Foundation (NSF) awarded a $159,860 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) program to the Trustees of the Stevens Institute of Technology in Hoboken, New Jersey. This 3-year grant supports the development of efficient algorithms to rigorously quantify uncertainties in state estimation and network topology identification for smart electricity distribution systems. The project aims to enable more accurate modeling and secure, cost-effective...
- This Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) will provide $199,992 to the University of Massachusetts Boston to analyze the impacts of communication-based cyberattacks on the electric grid infrastructure and develop solutions to enhance the security and resilience of the energy sector. The project will integrate the modeling and simulation of both the electric and communication systems to uncover vulnerabilities that may remain obscured when...
- This $104,166 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) aims to develop and evaluate a bio-inspired cyber-physical system for coordinating distributed energy resources, such as electric vehicles, heat pumps, and battery storage, at the distribution level of the electric grid. Inspired by the decentralized coordination mechanisms observed in honeybee colonies, the project will translate principles of "trophallaxis" (energy/food...
- This $315,000 federal Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) supports the development of new methods to robustly analyze and control large-scale networked systems with uncertain and variable delays. Specifically, the project will combine integral quadratic constraint and partial integral equation frameworks to enable accurate modeling and control of nonlinear systems with known and uncertain delay components. This work has direct applications...
- This National Science Foundation (NSF) Project Grant award, under CFDA 47.041 Engineering, aims to engage undergraduate students in transformative research experiences focused on smart cities, with an emphasis on smart power and energy systems. The $391,371 award, effective from October 1, 2025 to September 30, 2028, will be administered by the University of Denver. The project addresses national priorities in energy security, infrastructure resilience, and workforce development by preparing...
This $388,847 Project Grant awarded by the National Science Foundation's Engineering program (CFDA 47.041) is focused on developing new methods for managing uncertainty and volatility in critical infrastructure networks, such as power grids and transportation systems. The research aims to advance control strategies that can maintain the resilience and reliability of these evolving, dynamic networks in the face of increasing user participation and unpredictable consumption patterns. The project, awarded to Trustees of Boston University, seeks to integrate classical feedback control and incentive design with modern optimization and stochastic modeling techniques to enable effective management of these complex, networked infrastructures under uncertain conditions. The award period runs from October 1, 2025 through September 30, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $388.8k | 8/18/25 |