U.S. Department of EnergyOffice of Scientific and Technical Information
ARPA-E Grid Optimization (GO) Competition Challenge 3
Abstract
Synthetic Input Data and Team Results for the GO Competition Challenge 3 for Events 1 - 4 and the Sandbox, along with problem and format descriptions and code to validate data and solutions, are available here. Data for industry scenarios will not be made public. The Grid Optimization (GO) Competition Challenge 3 focused on the security-constrained optimal power flow (SCOPF) problem. It is part of a continuing effort begun with Challenges 1 and 2, to successfully discover, develop, and test innovative and disruptive software solutions for critical energy challenges and to overcome existing barriers. The broader goal of the of the GO Competition is to accelerate the development of transformational and disruptive methods for solving problems related to the electric power grid and to provide a transparent, fair, and comprehensive evaluation of new solution methods. Challenge 3 used multiperiod dynamic markets, including advisory models for extreme weather events, day-ahead markets, and the real-time markets with an extended look-ahead. In Event 4, whose submission window was August 31-September 4, 2023, 14 teams solved for the objective values of 669 scenarios (39 scenarios required solutions both with and without line switching being allowed). The 591 synthetic scenarios from 9 network models (3.6more »
- Publication Date:
- Other Number(s):
- 5997
- Research Org.:
- DOE Open Energy Data Initiative (OEDI); Pacific Northwest National Laboratory
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Multiple Programs (EE)
- Collaborations:
- Pacific Northwest National Laboratory
- Subject:
- ACOPF; ARPA-E; Array; GO Competition; Unit Commitment; competition; computational science; energy; energy model; grid; grid optimization; model; multiperiod; multiperiod dynamic markets; optimization; power; security-constrained optimal power flow
- OSTI Identifier:
- 2426334
- DOI:
- https://doi.org/10.25984/2426334
Citation Formats
Elbert, Stephen, Holzer, Jesse, Veeramany, Arun, O'Neill, Richard, Mittelmann, Hans, Coffrin, Carleton, Garcia, Manuel, Parker, Robert, Elgindy, Tarek, Hale, Elaine, Palmintier, Bryan, Mak, Terrence, Overbye, Thomas, Safdarian, Farnaz, DeMarco, Christopher, Greene, Scott, Lesieutre, Bernard, Eldridge, Brent, and Oh, Hyungseon. ARPA-E Grid Optimization (GO) Competition Challenge 3. United States: N. p., 2024.
Web. doi:10.25984/2426334.
Elbert, Stephen, Holzer, Jesse, Veeramany, Arun, O'Neill, Richard, Mittelmann, Hans, Coffrin, Carleton, Garcia, Manuel, Parker, Robert, Elgindy, Tarek, Hale, Elaine, Palmintier, Bryan, Mak, Terrence, Overbye, Thomas, Safdarian, Farnaz, DeMarco, Christopher, Greene, Scott, Lesieutre, Bernard, Eldridge, Brent, & Oh, Hyungseon. ARPA-E Grid Optimization (GO) Competition Challenge 3. United States. doi:https://doi.org/10.25984/2426334
Elbert, Stephen, Holzer, Jesse, Veeramany, Arun, O'Neill, Richard, Mittelmann, Hans, Coffrin, Carleton, Garcia, Manuel, Parker, Robert, Elgindy, Tarek, Hale, Elaine, Palmintier, Bryan, Mak, Terrence, Overbye, Thomas, Safdarian, Farnaz, DeMarco, Christopher, Greene, Scott, Lesieutre, Bernard, Eldridge, Brent, and Oh, Hyungseon. 2024.
"ARPA-E Grid Optimization (GO) Competition Challenge 3". United States. doi:https://doi.org/10.25984/2426334. https://www.osti.gov/servlets/purl/2426334. Pub date:Thu May 02 04:00:00 UTC 2024
@article{osti_2426334,
title = {ARPA-E Grid Optimization (GO) Competition Challenge 3},
author = {Elbert, Stephen and Holzer, Jesse and Veeramany, Arun and O'Neill, Richard and Mittelmann, Hans and Coffrin, Carleton and Garcia, Manuel and Parker, Robert and Elgindy, Tarek and Hale, Elaine and Palmintier, Bryan and Mak, Terrence and Overbye, Thomas and Safdarian, Farnaz and DeMarco, Christopher and Greene, Scott and Lesieutre, Bernard and Eldridge, Brent and Oh, Hyungseon},
abstractNote = {Synthetic Input Data and Team Results for the GO Competition Challenge 3 for Events 1 - 4 and the Sandbox, along with problem and format descriptions and code to validate data and solutions, are available here. Data for industry scenarios will not be made public. The Grid Optimization (GO) Competition Challenge 3 focused on the security-constrained optimal power flow (SCOPF) problem. It is part of a continuing effort begun with Challenges 1 and 2, to successfully discover, develop, and test innovative and disruptive software solutions for critical energy challenges and to overcome existing barriers. The broader goal of the of the GO Competition is to accelerate the development of transformational and disruptive methods for solving problems related to the electric power grid and to provide a transparent, fair, and comprehensive evaluation of new solution methods. Challenge 3 used multiperiod dynamic markets, including advisory models for extreme weather events, day-ahead markets, and the real-time markets with an extended look-ahead. In Event 4, whose submission window was August 31-September 4, 2023, 14 teams solved for the objective values of 669 scenarios (39 scenarios required solutions both with and without line switching being allowed). The 591 synthetic scenarios from 9 network models (3.6 GB) are available here. Ten teams were funded to participate and 7 won prizes totaling $2,400,000. The largest prize ($550,000) went to Mississippi State University. An additional $600,000 was awarded in Event 3 (6/15-16/2023). No prizes were awarded in Events 1 (1/25-27/2023) or 2 (4/13-14/2023). For more information on the competition and challenge see the "GO Competition Challenge 3 Information" resource below.},
doi = {10.25984/2426334},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu May 02 04:00:00 UTC 2024},
month = {Thu May 02 04:00:00 UTC 2024}
}