Project Grant N629092312032

Pacific Science & Engineering Group, Inc. was awarded a $200,000 project grant from the Department of Energy Office of Science under the Office of Science Financial Assistance Program (CFDA 81.049) to develop an externalized decision-making user interface for training smart grid operators. The interface aims to help operators of the nation's energy infrastructure learn to manage complex systems. In keeping with the Office of Science's mission to transform understanding of nature and...

This Project Grant award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program provides $365,897 to the Regents of the University of Michigan - University of Michigan-Dearborn to enhance grid reliability and stability through the integration of distributed energy resources. Key goals include developing fundamental knowledge to assess real-world power grid reliability, novel control algorithms to improve grid stability, and a shared platform for...

This Project Grant award from the National Science Foundation's Division of Mathematical Sciences, under the Mathematical and Physical Sciences program (CFDA 47.049), provides $120,000.00 to the University of Georgia Research Foundation (UGA Research Foundation) to develop deep-learning-enabled distributed optimization algorithms to enhance power system operations with renewable energy integration. The key objectives of the project are: (i) designing a holistic, three-stage, deep neural...

This $330,000 National Science Foundation project grant supports research at Purdue University from November 2022 through July 2025 to develop analytics and a prototype system for adaptive, human-centric coordination of demand-side flexibility at scale in electric power distribution networks. The goal is to enable actionable demand-side flexibility through adequate representation of consumer constraints and interactions with the energy system and provider. Researchers will develop learning...

This $500,000 National Science Foundation project grant funds the development of algorithms and computational tools to optimize electric power system planning and operations during extreme events such as wildfires and hurricanes. Awarded under the Engineering program (CFDA 47.041), the five-year award to the Georgia Tech Research Corporation from February 2022 to January 2027 aims to address computational challenges associated with power grid nonlinearities, uncertainties from renewable energy...

The Massachusetts Institute of Technology (MIT) was awarded a $399,902 project grant from the Department of Energy's Advanced Research Projects Agency - Energy (ARPA-E) to support its "Alternating Direction Decomposition with Strong Bounding and Convexification (ADD-SBC) for Solving Security Constrained AC Unit Commitment Problems" initiative under ARPA-E's Grid Optimization (GO) Competition Challenge 3. The grant period runs from September 1, 2022 through August 31, 2023. Under this...

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...

San Diego State University Foundation, doing business as San Diego State University Research Foundation, received a $200,000 Project Grant award from the National Science Foundation under the Engineering program (CFDA 47.041) to develop an agile decision support system for resilient operational planning of the electricity grid under wildfire risk. The two-year project aims to quantify individual power line wildfire ignition risk using differentiable programming accounting for meteorological...

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 federal Project Grant award of $200,000.00 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of a novel AI-surrogate enhanced cyberinfrastructure to accelerate large-scale power grid simulations. The key products and services to be delivered through this award include: Program-behavior analysis to identify optimal code regions for AI surrogate replacement Semi-automatic AI surrogate construction that...