ARPA-E Grid Optimization (GO) Competition Challenge 3

Dataset · Thu May 02 04:00:00 EDT 2024

DOI:https://doi.org/10.25984/2426334· OSTI ID:2426334

Elbert, Stephen ^[1]; 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

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1. Pacific Northwest National Laboratory

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.

• Research Organization: DOE Open Energy Data Initiative (OEDI); Pacific Northwest National Laboratory
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Multiple Programs (EE)
• Contributing Organization: Pacific Northwest National Laboratory
• OSTI ID: 2426334
• Report Number(s): 5997
• Availability: [e-mail]
• Country of Publication: United States
• Language: English

Related Subjects

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