This National Science Foundation project grant of $333,289 will support research from August 2022 to July 2025 related to adaptive, human-centric coordination of demand-side flexibility at scale in electric power distribution networks. Funded under the Engineering program (CFDA 47.041), the award to Washington State University will enable the development of analytics and a prototype system to efficiently leverage flexible demand commitments from multiple small consumers in uncertain electric...
The University of Florida received a $333,000 Project Grant from the National Science Foundation's Division of Electrical, Communications and Cyber Systems to develop analytics and a prototype for demand-side coordination of electricity usage. The goal is to enable actionable demand-side flexibility from multiple small consumers in electric power distribution networks through adequate representation of their constraints and interactions with the energy system and provider. The university will...
This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will provide $409,927.00 to Purdue University to develop novel algorithmic solutions to optimize the scheduling of distributed energy resources (DERs) in power distribution grids. The key objectives are to: 1) reduce data communication needed for a grid operator to orchestrate DERs by strategically identifying the most influential customer or grid meters; 2) leverage machine learning tools...
This $350,000 federal Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) aims to develop a new reduced-order dynamic modeling paradigm for accurately representing the impacts of massive distributed energy resource (DER) integration in carbon-neutral power systems. The project, awarded to Arizona State University, will leverage tools in dynamic systems, nonlinear system identification, and machine learning to create physics-based and machine...
This Project Grant award of $240,000.00 from the National Science Foundation (NSF) under the Mathematical and Physical Sciences program (CFDA 47.049) supports collaborative research to develop novel topological and graph-based modeling techniques for integrating large-scale, distributed energy resources into power grid systems. The key objectives are to create a data-adaptive graph generation module, apply topological data analysis and higher-order network models, and design deep neural...
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...
This Project Grant award of $181,004.00 was provided by the National Science Foundation (NSF) through its Engineering program (CFDA 47.041) to Purdue University. The project aims to develop data-enabled and physics-informed modeling, monitoring, and optimization algorithmic solutions targeting power system dynamics. The key products and services to be delivered include: Computational tools for learning grid dynamics from synchrophasor data, including methods to efficiently unveil the impulse...
The National Science Foundation awarded a $265,702 Project Grant to the Rochester Institute of Technology under the Engineering program (CFDA 47.041) to develop an integrated systems model linking consumer activities, expenditures, and energy use from April 1, 2023 to March 31, 2026. The research will construct a holistic model of U.S. energy demand considering how consumer actions simultaneously impact multiple sectors, including residences, vehicles, commercial buildings, server networks,...
This $393,890 federal Project Grant, awarded by the National Science Foundation's (NSF) Engineering program (CFDA 47.041), aims to advance the autonomy of power grids by developing innovative strategies to enhance decision-making speed, resilience, and sustainability awareness in distributed grid management models and algorithms. The key products and services to be delivered through this 5-year award include: 1) Novel machine learning-assisted optimizers to rapidly solve complex...
This $200,000 National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation project grant, awarded to Purdue University, aims to develop approaches for the joint operation of coupled municipal drinking water and electric power distribution networks. The key products and services to be delivered through this 3-year project include: Developing operational planning and real-time control strategies for these coupled water-power networks under uncertainty. Designing...