Open Net Zero logo
ARPA-E Grid Optimization (GO) Competition Challenge 2
L o a d i n g
Organization
National Renewable Energy Laboratory (NREL) - view all
Update frequencyunknown
Last updated2 weeks ago
Overview

The ARPA-E Grid Optimization (GO) Competition Challenge 2, from 2020 to 2021, expanded upon the problem posed in Challenge 1 by adding adjustable transformer tap ratios, phase shifting transformers, switchable shunts, price-responsive demand, ramp rate constrained generators and loads, and fast-start unit commitment. Furthermore, Challenge 2 was a maximization problem while Challenge 1 was a minimization problem. Specifically, the economic surplus, defined as the benefit of serving load minus the cost of generation, is being maximized. It was expected that the objective value of a given solution should be positive, representing economic gain, but negative objectives from poor solutions were possible. The two code submission feature of Challenge 1 was maintained. Additionally, Divisions 3 and 4 within the competition permitted on/off switching of transmission lines (Divisions 1 and 2 did not). After the initial release of the Problem Formulation on 7/20/2020, ARPA-E Director Lane Genatowski announced Challenge 2 on 9/12/2020. The final May 31, 2021, version of the Problem Formulation was 97 pages long with 299 equations. The Challenge proceeded with 2 non-prize Events and 2 prize Events. Teams receiving Challenge 1 FOA awards and prize money were required to use the prize money to fund their Challenge 2 efforts (Georgia Institute of Technology, Global Optimal Technology, Inc., Lawrence Livermore National Laboratory, Lehigh University, Northwestern University, Artelys, Columbia, Pearl Street Technologies, Pennsylvania State University, and University of Colorado Boulder). For more information on the competition and challenge 2 see the "GO Competition Challenge 2 Information" resource below. Challenge 1 and Challenge 3 information can be found in the resources linked below.

ACOPFARPA-EGO CompetitionUnit Commitmentchallenge 2competitioncomputational scienceenergyenergy modelgridgrid optimizationmodelmultiperiodmultiperiod dynamic marketsoptimizationpowersecurity-constrained optimal power flow
Additional Information
KeyValue
Dcat Issued2024-09-20T06:00:00Z
Dcat Modified2025-01-02T16:46:01Z
Dcat Publisher NamePacific Northwest National Laboratory
Guidhttps://data.openei.org/submissions/6197
Harvest Object Id2b988c92-f44c-45e8-a3e3-65a5fd3003aa
Harvest Source Id4eb7107f-a2b1-40e3-b36a-8161aa98a56e
Harvest Source TitleOpenEI Data Portal
Share this Dataset
Trust Signals
Trust Framework(s)None
Assuranceunknown
Data Sensitivity Classunknown
Licenceunknown
Files
  • GO Competition Challenge 2 Information

  • Challenge 2 Additional Info.pdf

  • Challenge 2 Problem Formulation.pdf

  • Challenge 2 Scoring.pdf

  • Challenge 2 Rules.pdf

  • Challenge 2 Timeline.pdf

  • Challenge 2 Sandbox Data C2S6 Scenarios.zip

  • Challenge 2 Sandbox Data C2S6N00617 Scenarios.zip

  • Challenge 2 Sandbox Data C2S7 Scenarios.zip

  • Challenge 2 Sandbox Data C2S9 Scenarios.zip

  • Challenge 2 Trial Event 1 Synthetic Data Scenarios.zip

  • Challenge 2 Trial Event 2 Synthetic Data Scenarios.zip

  • Challenge 2 Event 3 Synthetic Data Scenarios.zip

  • Challenge 2 Final Event 4 Synthetic Data Scenarios.zip

  • Challenge 2 C2FEN08300 Unused Synthetic Scenarios.zip

  • Challenge 2 C2FEN0xxxx Unused Synthetic Scenarios.zip

  • Challenge 2 C2FEN12209 Unused Synthetic Scenarios.zip

  • Challenge 2 C2FEN17700 Unused Synthetic Scenarios.zip

  • Challenge 2 C2FEN1xxxx Unused Synthetic Scenarios.zip

  • Challenge 2 C2FEN31777 Unused Synthetic Scenarios.zip

  • Challenge 2 Trial Event 2 Results.xlsx

  • Challenge 2 Trial Event 3 Results.xlsx

  • Challenge 2 Final Event Results.xlsx

  • Challenge 2 Wisconsin Data Narratives.zip

  • Challenge 2 Monarch of the Mountain Results.xlsx

  • GO Competition Final Report

  • ARPA-E Grid Optimization GO Competition Challenge 1

  • ARPA-E Grid Optimization GO Competition Challenge 3

  • GO Competition Additional Info.pdf