Project Grant 2433426
- 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 National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant award, valued at $208,333, aims to design and evaluate honeybee-inspired virtual electric peer-to-peer networks to enable efficient and resilient control of distributed energy resources at the distribution level. The project, awarded to the University of Colorado, will develop a bio-inspired cyber-physical system where distributed energy resources ("bees") and storage systems...
- This Project Grant from the National Science Foundation Division of Mathematical Sciences provides $429,158 to develop computational tools for modeling, prediction and control of distributed and reconfigurable renewable energy systems. Funded under the Mathematical and Physical Sciences program (CFDA 47.049), key outcomes include noise-resilient identification methods for transient dynamics, stochastic models integrating statistical closure with topology-aware data, and optimal control...
- This NSF Project Grant award of $450,000 from the Directorate for Engineering (CFDA #47.041) aims to address oscillation issues in power grids with high levels of renewable energy generation. The key efforts include: Developing scalable, computationally manageable, and linearized models to simulate power grid dynamics and the associated cyber layer with realistic impacts like data packet drops and delays. Designing a centralized damping control scheme that uses phasor measurement unit (PMU)...
- The National Science Foundation (NSF) awarded a Project Grant of $275,000 under the Engineering program (CFDA 47.041) to The Pennsylvania State University (Penn State) to develop quantum computing algorithms for optimizing the efficiency, reliability, and resilience of renewable energy systems. The project, titled "Collaborative Research: Variational Quantum Technology for Seamless Transition Between Grid-Following and Grid-Forming Controls for Inverter-Based Resources," aims to design...
- The National Science Foundation (NSF) awarded a $299,961 EAGER (Early-concept Grants for Exploratory Research) project grant under the NSF Engineering program (CFDA 47.041) to North Carolina State University (NC State) for the period of October 1, 2025 to September 30, 2027. The project aims to develop model-driven and data-driven optimization and control algorithms to manage the large-scale charging of electric vehicles (EVs) while maintaining the stability and voltage stability of the power...
- 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 $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 is a $500,000 National Science Foundation (NSF) CAREER project grant awarded to the University of Texas at Austin on March 1, 2025. The project aims to advance the autonomy of power grids by developing fundamental theory to enhance decision speed, resilience, and societal/sustainability awareness of distributed grid management models and algorithms. Key technical approaches include developing novel machine learning-assisted optimizers, using AI and generative modeling to improve resilience,...
- This $650,000 Project Grant award from the National Science Foundation (NSF) Division of Behavioral and Cognitive Sciences (CFDA 47.075) to The Pennsylvania State University supports research to strengthen the resilience and equity of U.S. energy infrastructure during extreme cold weather events. The project develops an integrated framework to assess and improve the allocation of natural gas between local distribution companies and power plants. It involves modeling the impacts of winter...
This NSF Project Grant award to The Pennsylvania State University (Penn State) aims to develop and evaluate a bio-inspired cyber-physical system for coordinating the control of distributed energy resources, such as electric vehicles, heat pumps, and battery storage, to enhance the resilience of electric grids at the distribution level. Inspired by the decentralized coordination mechanisms observed in honeybee colonies, the project will create mathematical models based on the trophallaxis (energy exchange) process and integrate them into an innovative control framework. The $192,795 award, granted under the NSF Engineering program (CFDA 47.041), will support research activities from October 1, 2025, to September 30, 2028. The project's broader impacts include advancing non-wire alternatives to enhance grid resilience, improving electricity access, and fostering interdisciplinary knowledge exchange between biology, computing, and engineering.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $192.8k | 9/15/25 |