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 L. Greene; Nongchao Guo; Jesse Holzer; Bernard Lesieutre; Hans Mittelmann; Richard P. O'Neill; Thomas J. Overbye; Bryan Palmintier; Pascal Van Hentenryck; Arun Veeramany; Terrence W.K. 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 L. Greene, Nongchao Guo, Jesse Holzer, Bernard Lesieutre, Hans Mittelmann, Richard P. O'Neill, Thomas J. Overbye, Bryan Palmintier, Pascal Van Hentenryck, Arun Veeramany, Terrence W.K. MakJessica Wert

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

5 Citations (Scopus)

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	English
Title of host publication	2022 North American Power Symposium (NAPS 2022)
Editors	Jianli Chen, Cathy Liu, John Palmer, Hyde Merrill
Place of Publication	Piscataway NJ USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	811-816
Number of pages	6
ISBN (Electronic)	9781665499217
ISBN (Print)	9781665499224
DOIs	https://doi.org/10.1109/NAPS56150.2022.10012138
Publication status	Published - 2022
Externally published	Yes
Event	North American Power Symposium 2022 - Salt Lake City, United States of America Duration: 9 Oct 2022 → 11 Oct 2022 https://ieeexplore.ieee.org/xpl/conhome/10012119/proceeding (Proceedings) https://naps2022.utah.edu/ (Website)

Publication series

Name	2022 North American Power Symposium, NAPS 2022
Publisher	IEEE, Institute of Electrical and Electronics Engineers
ISSN (Print)	2163-4939
ISSN (Electronic)	2833-003X

Conference

Conference	North American Power Symposium 2022
Abbreviated title	NAPS 2022
Country/Territory	United States of America
City	Salt Lake City
Period	9/10/22 → 11/10/22
Internet address	https://ieeexplore.ieee.org/xpl/conhome/10012119/proceeding (Proceedings) https://naps2022.utah.edu/ (Website)

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)

Access to Document

10.1109/NAPS56150.2022.10012138

Cite this

Safdarian, F., Snodgrass, J., Yeo, J. H., Birchfield, A., Coffrin, C., Demarco, C., Elbert, S., Eldridge, B., Elgindy, T., Greene, S. L., Guo, N., Holzer, J., Lesieutre, B., Mittelmann, H., O'Neill, R. P., Overbye, T. J., Palmintier, B., Van Hentenryck, P., Veeramany, A., ... Wert, J. (2022). Grid optimization competition on synthetic and industrial power systems. In J. Chen, C. Liu, J. Palmer, & H. Merrill (Eds.), 2022 North American Power Symposium (NAPS 2022) (pp. 811-816). (2022 North American Power Symposium, NAPS 2022). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/NAPS56150.2022.10012138

Safdarian, Farnaz ; Snodgrass, Jonathan ; Yeo, Ju Hee et al. / Grid optimization competition on synthetic and industrial power systems. 2022 North American Power Symposium (NAPS 2022). editor / Jianli Chen ; Cathy Liu ; John Palmer ; Hyde Merrill. Piscataway NJ USA : IEEE, Institute of Electrical and Electronics Engineers, 2022. pp. 811-816 (2022 North American Power Symposium, NAPS 2022).

@inproceedings{ec15c8d15a4c48559cc231f431077343,

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 Greene, {Scott L.} and Nongchao Guo and Jesse Holzer and Bernard Lesieutre and Hans Mittelmann and O'Neill, {Richard P.} and Overbye, {Thomas J.} and Bryan Palmintier and {Van Hentenryck}, Pascal and Arun Veeramany and Mak, {Terrence W.K.} and Jessica Wert",

note = "Funding Information: This work is supported through funding provided by the U.S. Department of Energy (DOE) under award DE-OE0000895, the US ARPA-E Grant No. DE-AR0001366, and GRID DATA. Publisher Copyright: {\textcopyright} 2022 IEEE.; North American Power Symposium 2022, NAPS 2022 ; Conference date: 09-10-2022 Through 11-10-2022",

year = "2022",

doi = "10.1109/NAPS56150.2022.10012138",

language = "English",

isbn = "9781665499224",

series = "2022 North American Power Symposium, NAPS 2022",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

pages = "811--816",

editor = "Jianli Chen and Cathy Liu and John Palmer and Hyde Merrill",

booktitle = "2022 North American Power Symposium (NAPS 2022)",

address = "United States of America",

url = "https://ieeexplore.ieee.org/xpl/conhome/10012119/proceeding, https://naps2022.utah.edu/",

}

Safdarian, F, Snodgrass, J, Yeo, JH, Birchfield, A, Coffrin, C, Demarco, C, Elbert, S, Eldridge, B, Elgindy, T, Greene, SL, Guo, N, Holzer, J, Lesieutre, B, Mittelmann, H, O'Neill, RP, Overbye, TJ, Palmintier, B, Van Hentenryck, P, Veeramany, A, Mak, TWK & Wert, J 2022, Grid optimization competition on synthetic and industrial power systems. in J Chen, C Liu, J Palmer & H Merrill (eds), 2022 North American Power Symposium (NAPS 2022). 2022 North American Power Symposium, NAPS 2022, IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 811-816, North American Power Symposium 2022, Salt Lake City, Utah, United States of America, 9/10/22. https://doi.org/10.1109/NAPS56150.2022.10012138

Grid optimization competition on synthetic and industrial power systems. / Safdarian, Farnaz; Snodgrass, Jonathan; Yeo, Ju Hee et al.
2022 North American Power Symposium (NAPS 2022). ed. / Jianli Chen; Cathy Liu; John Palmer; Hyde Merrill. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 2022. p. 811-816 (2022 North American Power Symposium, NAPS 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

TY - GEN

T1 - Grid optimization competition on synthetic and industrial power systems

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 L.

AU - Guo, Nongchao

AU - Holzer, Jesse

AU - Lesieutre, Bernard

AU - Mittelmann, Hans

AU - O'Neill, Richard P.

AU - Overbye, Thomas J.

AU - Palmintier, Bryan

AU - Van Hentenryck, Pascal

AU - Veeramany, Arun

AU - Mak, Terrence W.K.

AU - Wert, Jessica

N1 - Funding Information: This work is supported through funding provided by the U.S. Department of Energy (DOE) under award DE-OE0000895, the US ARPA-E Grant No. DE-AR0001366, and GRID DATA. Publisher Copyright: © 2022 IEEE.

PY - 2022

Y1 - 2022

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

UR - http://www.scopus.com/inward/record.url?scp=85147253739&partnerID=8YFLogxK

U2 - 10.1109/NAPS56150.2022.10012138

DO - 10.1109/NAPS56150.2022.10012138

M3 - Conference Paper

AN - SCOPUS:85147253739

SN - 9781665499224

T3 - 2022 North American Power Symposium, NAPS 2022

SP - 811

EP - 816

BT - 2022 North American Power Symposium (NAPS 2022)

A2 - Chen, Jianli

A2 - Liu, Cathy

A2 - Palmer, John

A2 - Merrill, Hyde

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - Piscataway NJ USA

T2 - North American Power Symposium 2022

Y2 - 9 October 2022 through 11 October 2022

ER -

Safdarian F, Snodgrass J, Yeo JH, Birchfield A, Coffrin C, Demarco C et al. Grid optimization competition on synthetic and industrial power systems. In Chen J, Liu C, Palmer J, Merrill H, editors, 2022 North American Power Symposium (NAPS 2022). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers. 2022. p. 811-816. (2022 North American Power Symposium, NAPS 2022). doi: 10.1109/NAPS56150.2022.10012138

Grid optimization competition on synthetic and industrial power systems

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

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