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    • ARPA-E Grid Optimization (GO) Competition Challenge 3

    Metadata Updated: August 5, 2024

    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.

    Access & Use Information

    Public: This dataset is intended for public access and use. License: Creative Commons Attribution

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    Dates

    Metadata Created Date May 11, 2024
    Metadata Updated Date August 5, 2024

    Metadata Source

    Harvested from OpenEI data.json

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date May 11, 2024
    Metadata Updated Date August 5, 2024
    Publisher Pacific Northwest National Laboratory
    Maintainer
    Doi 10.25984/2426334
    Identifier https://data.openei.org/submissions/5997
    Data First Published 2024-05-02T06:00:00Z
    Data Last Modified 2024-08-05T16:37:07Z
    Public Access Level public
    Bureau Code 019:20
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    Harvest Source Id 7cbf9085-0290-4e9f-bec1-91653baeddfd
    Harvest Source Title OpenEI data.json
    Homepage URL https://data.openei.org/submissions/5997
    License https://creativecommons.org/licenses/by/4.0/
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    Program Code 019:023, 019:000
    Projectnumber CJ0000903
    Projecttitle ARPA-E Grid Optimization Competition
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