Project Grant 2330154
- The National Science Foundation (NSF) awarded a $145,871 Project Grant under the NSF Engineering program (CFDA 47.041) to the Regents of the University of California at Riverside (UC Riverside) to develop novel data-driven control methods for the safe and secure operation of grid-edge resources (GERs) in modern power systems. The research aims to address the challenges and opportunities presented by the rapid proliferation of distributed energy resources, such as renewable generators, smart...
- This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) provides $470,000.00 to the University of California, Santa Barbara (UCSB) to conduct research on "Disorder, Fragility and Localization in Networked Control and Dynamical Systems." The research aims to study network vulnerabilities and resilience in large-scale interconnected systems, such as electric power grids and biological networks, by exploring the mathematical similarities...
- This $550,000 five-year Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) aims to develop performance-guaranteed learning and control algorithms for real-world energy systems. The research plan focuses on two key applications: distribution grid voltage regulation and building system control. The project objectives are to provide stability, computational tractability, and robustness guarantees for these energy system control challenges through...
- This Project Grant award, valued at $599,943.00 and provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to enhance the security and resilience of cyber-physical power systems against sophisticated cyber-attacks. The key products and services to be delivered through this funding include: 1) Developing advanced machine learning and optimization-based tools to detect and mitigate stealthy cyber-attacks on...
- This $240,000 Project Grant was awarded on July 1, 2025 by the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program. The grant was awarded to the Regents of the University of California at Riverside to conduct collaborative research on simplicial-topological modeling for the integration of ultra-high-dimensional distributed energy resources into wide-area modern power systems. The research aims to develop new data-adaptive graph...
- This $199,998 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports planning activities for a large-scale research project focused on advanced microgrids to enhance the resilience of electric power systems in rural communities. The project aims to develop an integrated control and communication system to enable stable operation of localized energy sources like solar, wind, geothermal, and...
- 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 $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) Division of Electrical, Communications and Cyber Systems awarded the University of Texas at Austin a $250,000 Project Grant under the NSF Engineering program (CFDA 47.041) to develop novel learning-based approaches for estimating the flexibility amount of grid edge resources (GERs) and designing equitable resource coordination and management methods. The project aims to transform the management of flexible energy resources in distribution electricity...
- The National Science Foundation (NSF) awarded a $1,500,000 Project Grant titled "ASCENT: BOOSTING CYBER AND PHYSICAL RESILIENCE OF POWER ELECTRONICS-DOMINATED DISTRIBUTION GRIDS IN ENERGY SPACE" to the San Diego State University Research Foundation under the NSF Directorate for Engineering (CFDA 47.041) program. The project aims to develop an innovative sensing and control system to enhance the cyber-physical resilience of power distribution systems with a high penetration of power...
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 energy resources, despite their lack of direct control and vulnerabilities to cyber attacks. The research will involve testing the proposed methods under realistic scenarios using real-world GER data and industry-standard simulations. The project is expected to enhance the safety and security of the nation's critical energy infrastructure, improve the reliability of AI and data-driven control methods in safety-critical systems, and promote diversity and inclusion at UCSB, a minority-serving institution. No sub-awards are planned for this grant, which has a performance period from September 1, 2024 to August 31, 2027.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $200.0k | 4/1/24 |