Grid Optimization Competition on Synthetic and Industrial Power Systems

Farnaz Safdarian; Jonathan Snodgrass; Ju Hee Yeo; Adam Birchfield; Carleton Coffrin; Chris Demarco; Stephen Elbert; Brent Eldridge; Tarek Elgindy; Scott Greene; Nongchao Guo; Jesse Holzer; Bernard Lesieutre; Hans Mittelmann; Richard O'Neill; Thomas Overbye; Bryan Palmintier; Pascal Van Hentenryck; Arun Veeramany; Terrence Mak; Jessica Wert

doi:10.1109/NAPS56150.2022.10012138

Grid Optimization Competition on Synthetic and Industrial Power Systems

Farnaz Safdarian, Jonathan Snodgrass, Ju Hee Yeo, Adam Birchfield, Carleton Coffrin, Chris Demarco, Stephen Elbert, Brent Eldridge, Tarek Elgindy, Scott Greene, Nongchao Guo, Jesse Holzer, Bernard Lesieutre, Hans Mittelmann, Richard O'Neill, Thomas Overbye, Bryan Palmintier, Pascal Van Hentenryck, Arun Veeramany, Terrence MakJessica Wert

Grid Planning and Analysis Center

Research output: Contribution to conference › Paper › peer-review

7 Scopus Citations

Abstract

This paper summarizes a grid optimization (GO) competition effort in the United States to find the best solution strategies for up to interconnect-scale power system networks with around 32,000 buses. The optimization problem is a mixedinteger, non-convex non-linear problem, (MINLP) and includes discrete variables such as unit commitment and line switching, control settings (transformer taps and phase shifters with impedance correction tables), and bus shunts. The case study includes six actual industry grids as well as 16 realistic synthetic grids created by three different dataset teams. The winners are selected and ranked based on scoring criteria, which consider the solution quality (such as objective functions) within time limits. Nine winner teams are selected from 26 competitor teams. The results achieved by different teams are described and the performance of different algorithms on synthetic grids and actual industry grids are compared and analyzed.

Original language	American English
Number of pages	6
DOIs	https://doi.org/10.1109/NAPS56150.2022.10012138 https://doi.org/10.1109/NAPS56150.2022.10012138
State	Published - 2022
Event	2022 North American Power Symposium, NAPS 2022 - Salt Lake City, United States Duration: 9 Oct 2022 → 11 Oct 2022

Conference

Conference	2022 North American Power Symposium, NAPS 2022
Country/Territory	United States
City	Salt Lake City
Period	9/10/22 → 11/10/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

NREL Publication Number

NREL/CP-6A40-85377

Keywords

Mixed-integer non-linear programming
optimal power flow
optimization
power systems
synthetic network models

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Safdarian, F., Snodgrass, J., Yeo, J. H., Birchfield, A., Coffrin, C., Demarco, C., Elbert, S., Eldridge, B., Elgindy, T., Greene, S., Guo, N., Holzer, J., Lesieutre, B., Mittelmann, H., O'Neill, R., Overbye, T., Palmintier, B., Van Hentenryck, P., Veeramany, A., ... Wert, J. (2022). Grid Optimization Competition on Synthetic and Industrial Power Systems. Paper presented at 2022 North American Power Symposium, NAPS 2022, Salt Lake City, United States. https://doi.org/10.1109/NAPS56150.2022.10012138, https://doi.org/10.1109/NAPS56150.2022.10012138

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title = "Grid Optimization Competition on Synthetic and Industrial Power Systems",

abstract = "This paper summarizes a grid optimization (GO) competition effort in the United States to find the best solution strategies for up to interconnect-scale power system networks with around 32,000 buses. The optimization problem is a mixedinteger, non-convex non-linear problem, (MINLP) and includes discrete variables such as unit commitment and line switching, control settings (transformer taps and phase shifters with impedance correction tables), and bus shunts. The case study includes six actual industry grids as well as 16 realistic synthetic grids created by three different dataset teams. The winners are selected and ranked based on scoring criteria, which consider the solution quality (such as objective functions) within time limits. Nine winner teams are selected from 26 competitor teams. The results achieved by different teams are described and the performance of different algorithms on synthetic grids and actual industry grids are compared and analyzed.",

keywords = "Mixed-integer non-linear programming, optimal power flow, optimization, power systems, synthetic network models",

author = "Farnaz Safdarian and Jonathan Snodgrass and Yeo, {Ju Hee} and Adam Birchfield and Carleton Coffrin and Chris Demarco and Stephen Elbert and Brent Eldridge and Tarek Elgindy and Scott Greene and Nongchao Guo and Jesse Holzer and Bernard Lesieutre and Hans Mittelmann and Richard O'Neill and Thomas Overbye and Bryan Palmintier and {Van Hentenryck}, Pascal and Arun Veeramany and Terrence Mak and Jessica Wert",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 North American Power Symposium, NAPS 2022 ; Conference date: 09-10-2022 Through 11-10-2022",

year = "2022",

doi = "10.1109/NAPS56150.2022.10012138",

language = "American English",

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Safdarian, F, Snodgrass, J, Yeo, JH, Birchfield, A, Coffrin, C, Demarco, C, Elbert, S, Eldridge, B, Elgindy, T, Greene, S, Guo, N, Holzer, J, Lesieutre, B, Mittelmann, H, O'Neill, R, Overbye, T, Palmintier, B, Van Hentenryck, P, Veeramany, A, Mak, T & Wert, J 2022, 'Grid Optimization Competition on Synthetic and Industrial Power Systems', Paper presented at 2022 North American Power Symposium, NAPS 2022, Salt Lake City, United States, 9/10/22 - 11/10/22. https://doi.org/10.1109/NAPS56150.2022.10012138, https://doi.org/10.1109/NAPS56150.2022.10012138

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AU - Safdarian, Farnaz

AU - Snodgrass, Jonathan

AU - Yeo, Ju Hee

AU - Birchfield, Adam

AU - Coffrin, Carleton

AU - Demarco, Chris

AU - Elbert, Stephen

AU - Eldridge, Brent

AU - Elgindy, Tarek

AU - Greene, Scott

AU - Guo, Nongchao

AU - Holzer, Jesse

AU - Lesieutre, Bernard

AU - Mittelmann, Hans

AU - O'Neill, Richard

AU - Overbye, Thomas

AU - Palmintier, Bryan

AU - Van Hentenryck, Pascal

AU - Veeramany, Arun

AU - Mak, Terrence

AU - Wert, Jessica

PY - 2022

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N2 - This paper summarizes a grid optimization (GO) competition effort in the United States to find the best solution strategies for up to interconnect-scale power system networks with around 32,000 buses. The optimization problem is a mixedinteger, non-convex non-linear problem, (MINLP) and includes discrete variables such as unit commitment and line switching, control settings (transformer taps and phase shifters with impedance correction tables), and bus shunts. The case study includes six actual industry grids as well as 16 realistic synthetic grids created by three different dataset teams. The winners are selected and ranked based on scoring criteria, which consider the solution quality (such as objective functions) within time limits. Nine winner teams are selected from 26 competitor teams. The results achieved by different teams are described and the performance of different algorithms on synthetic grids and actual industry grids are compared and analyzed.

AB - This paper summarizes a grid optimization (GO) competition effort in the United States to find the best solution strategies for up to interconnect-scale power system networks with around 32,000 buses. The optimization problem is a mixedinteger, non-convex non-linear problem, (MINLP) and includes discrete variables such as unit commitment and line switching, control settings (transformer taps and phase shifters with impedance correction tables), and bus shunts. The case study includes six actual industry grids as well as 16 realistic synthetic grids created by three different dataset teams. The winners are selected and ranked based on scoring criteria, which consider the solution quality (such as objective functions) within time limits. Nine winner teams are selected from 26 competitor teams. The results achieved by different teams are described and the performance of different algorithms on synthetic grids and actual industry grids are compared and analyzed.

KW - Mixed-integer non-linear programming

KW - optimal power flow

KW - optimization

KW - power systems

KW - synthetic network models

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T2 - 2022 North American Power Symposium, NAPS 2022

Y2 - 9 October 2022 through 11 October 2022

ER -

Grid Optimization Competition on Synthetic and Industrial Power Systems

Abstract

Conference

Bibliographical note

NREL Publication Number

Keywords

UN SDGs

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