Project Grant DEAR0001650
Award Date
9/6/22
Completion Date
9/5/23
Dollars Obligated
$367K
Federal Agency
Advanced Research Projects Agency
Federal Grant Program
81.135
Assistance Type
Project Grant
Place of Performance
Mississippi State, MS 39762, USA
Similar Awards
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 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...
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...
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 Trustees of Columbia University in New York City will receive $400,000 through a one-year Project Grant from the Department of Energy's Advanced Research Projects Agency - Energy (ARPA-E) under the agency's Advanced Research Projects Agency - Energy program (CFDA 81.135). The grant will support Columbia University's project "Solving Multiperiod SCOPF Problems via Nonlinear Optimization," which aims to enhance the use of local nonlinear solvers and warm-start techniques within a...
This Cooperative Agreement award from the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy (EERE) under the Renewable Energy Research and Development program (CFDA 81.087) provides $3,872,767 to Georgia Tech Research Corporation to develop, integrate, and demonstrate a stochastic, decentralized AC unit commitment and optimal power flow system that supports secure operation of bulk electricity grids with high penetrations of inverter-based resources. The key objectives...
This National Science Foundation (NSF) Project Grant award of $200,000 to Kansas State University, under the Mathematical and Physical Sciences program (CFDA 47.049), aims to develop and validate deep-learning-enabled distributed stochastic algorithms to solve large-scale, stochastic security-constrained unit commitment problems within power systems. The project will focus on designing a holistic, three-stage, deep neural network-based machine learning approach, developing solution strategies...
The National Science Foundation (NSF) Engineering program (CFDA 47.041) awarded a $129,783 Project Grant to Mississippi State University to explore the foundation and take initial steps toward establishing a taxonomy of optimal control architectures and design algorithms for power electronic converters used to integrate diverse energy systems, such as solar photovoltaics, wind, and battery energy storage, into the electricity network. The project aims to develop transformative control...
This $500,000 National Science Foundation (NSF) CAREER award, under the Engineering program (CFDA 47.041), aims to improve the computational efficiency of economics-driven transmission planning for electric power systems by up to three orders of magnitude. The project, awarded to the University of Missouri System's Missouri University of Science & Technology, will develop a multi-faceted framework that integrates innovations in modeling, simulation, computing, and design to transform lengthy...
This Project Grant from the National Science Foundation's Division of Mathematical Sciences, under the Mathematical and Physical Sciences program (CFDA 47.049), provides $276,203 to Southern Methodist University to develop new computational techniques for solving core mathematical equations modeling large-scale power systems. Key products include fast and accurate screening techniques for high-degree contingency analysis using state-of-the-art algebraic multigrid on weighted graph Laplacians....