Project Grant DEAR0001071

This Project Grant from the Department of Energy's Advanced Research Projects Agency - Energy (ARPA-E) Federal Grant Program (CFDA #81.135) provides $276,480 to Global Optimal Technology, Inc. for their project "Robust and High-Performance Nonlinear Security-Constrained Multi-Period Resource Commitment and Optimal Power Flow." The one-year award period runs from September 2022 to September 2023. Through this funding, Global Optimal Technology will deliver products and services...

The Department of Energy's Advanced Research Projects Agency - Energy (ARPA-E) awarded a $225,000 project grant to Ecco International Inc. to support work under the Grid Optimization (GO) Competition Challenge 3. The goal of the award is to enhance industry-standard tools for alternating current optimal unit commitment through Ecco International's "LLGOMAX: Enhancing Industry-Standard Tools for AC Optimal Unit Commitment" project. Specifically, Ecco International will partner with...

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...

Mississippi State University was awarded a $367,345 project grant from the Department of Energy's Advanced Research Projects Agency - Energy (ARPA-E) to develop software for solving large-scale, mixed-integer, nonlinear, non-convex, and multi-period AC security-constrained optimal power flow problems with unit commitment and line switching. The grant-funded project, titled "Intelligent Partitioning Based Fully Parallel AC Security-Constrained Optimal Power Flow (PSCOPF)," aims to...

This federal Cooperative Agreement award, valued at $3,245,061 and granted by the U.S. Department of Energy's Office of Electricity (CFDA 81.122 Electricity Research, Development and Analysis program), aims to develop and field demonstrate the benefits and usage of dynamic line rating (DLR) and advanced power flow control (APFC) technologies in New England. The project, led by the Georgia Tech Research Corporation, will investigate the synergies between DLR and APFC to address grid congestion,...

This Cooperative Agreement award from the National Science Foundation (NSF) under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program provides $1,000,000.00 in funding to Grid Modernization Solutions LLC (doing business as Grid Elevated) to develop, test, and validate the SUNIGATE: Secure Universal and Intelligent Data Gateway prototype. This project aims to enhance U.S. critical infrastructure security by improving capabilities to detect, mitigate, and respond to...

This $149,178 project grant from the National Science Foundation's Computer and Information Science and Engineering program aims to improve power system surveillance through convex relaxation techniques. Funded under the American Rescue Plan Act, the grant supports research at the University Corporation to strengthen the dependability and robustness of the electric power grid. The project will develop more efficient convex relaxation-based approaches to power system state estimation to provide...

The University of Pittsburgh was awarded a $400,000 Project Grant from the Department of Energy's Advanced Research Projects Agency - Energy (ARPA-E) to develop tighter mixed-integer programming formulations for quadratic security constrained unit commitment (SCUC) optimization under the agency's Grid Optimization (GO) Competition Challenge 3. The one-year award period runs from September 7, 2022 to September 6, 2023. As part of the work, $400k in subawards were provided to Georgia Tech Research...

This Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) aims to enhance electric power grid operators' situational awareness, improve dynamic model quality, and enable online controls to ensure secure power system operation with high penetration of inverter-based resources (IBRs) such as solar, wind, and battery energy storage. The $397,111 award, effective February 1, 2025 through January 31, 2030, will fund research to develop a generalized,...

This Project Grant award of $409,927.00 from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) aims to develop novel algorithmic solutions to advance the optimal scheduling of distributed energy resources (DERs) in power distribution grids. The key objectives are to: 1) reduce data communication requirements for grid operators to orchestrate DERs by strategically identifying influential data sources, 2) leverage machine learning tools to transform distilled data for...