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Title: ARPA-E Grid Optimization (GO) Competition Challenge 2

Abstract

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 effortsmore » (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.« less

Authors:
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  1. Pacific Northwest National Laboratory
Publication Date:
Other Number(s):
6197
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; challenge 2; competition; computational science; energy; energy model; grid; grid optimization; model; multiperiod; multiperiod dynamic markets; optimization; power; security-constrained optimal power flow
OSTI Identifier:
2448433
DOI:
https://doi.org/10.25984/2448433

Citation Formats

Elbert, Stephen, Holzer, Jesse, Veeramany, Arun, Coffrin, Carleton, DeMarco, Christopher, Duthu, Ray, Greene, Scott, Kuchar, Olga, Lesieutre, Bernard, Li, Hanyue, Mak, Terrence, Mittelmann, Hans, O'Neill, Richard, Overbye, Thomas, Tbaileh, Ahmad, Van Hentenryck, Pascal, and Wert, Jessica. ARPA-E Grid Optimization (GO) Competition Challenge 2. United States: N. p., 2024. Web. doi:10.25984/2448433.
Elbert, Stephen, Holzer, Jesse, Veeramany, Arun, Coffrin, Carleton, DeMarco, Christopher, Duthu, Ray, Greene, Scott, Kuchar, Olga, Lesieutre, Bernard, Li, Hanyue, Mak, Terrence, Mittelmann, Hans, O'Neill, Richard, Overbye, Thomas, Tbaileh, Ahmad, Van Hentenryck, Pascal, & Wert, Jessica. ARPA-E Grid Optimization (GO) Competition Challenge 2. United States. doi:https://doi.org/10.25984/2448433
Elbert, Stephen, Holzer, Jesse, Veeramany, Arun, Coffrin, Carleton, DeMarco, Christopher, Duthu, Ray, Greene, Scott, Kuchar, Olga, Lesieutre, Bernard, Li, Hanyue, Mak, Terrence, Mittelmann, Hans, O'Neill, Richard, Overbye, Thomas, Tbaileh, Ahmad, Van Hentenryck, Pascal, and Wert, Jessica. 2024. "ARPA-E Grid Optimization (GO) Competition Challenge 2". United States. doi:https://doi.org/10.25984/2448433. https://www.osti.gov/servlets/purl/2448433. Pub date:Fri Sep 20 00:00:00 EDT 2024
@article{osti_2448433,
title = {ARPA-E Grid Optimization (GO) Competition Challenge 2},
author = {Elbert, Stephen and Holzer, Jesse and Veeramany, Arun and Coffrin, Carleton and DeMarco, Christopher and Duthu, Ray and Greene, Scott and Kuchar, Olga and Lesieutre, Bernard and Li, Hanyue and Mak, Terrence and Mittelmann, Hans and O'Neill, Richard and Overbye, Thomas and Tbaileh, Ahmad and Van Hentenryck, Pascal and Wert, Jessica},
abstractNote = {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.},
doi = {10.25984/2448433},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Sep 20 00:00:00 EDT 2024},
month = {Fri Sep 20 00:00:00 EDT 2024}
}