Recent Developments in Security-Constrained AC Optimal Power Flow: Overview of Challenge 1 in the ARPA-E Grid Optimization Competition

被引：8

作者：

Aravena, Ignacio ^{[1
,3
]}

Molzahn, Daniel K. ^{[2
,7
]}

Zhang, Shixuan ^{[2
,9
]}

Petra, Cosmin G. ^{[1
,3
]}

Curtis, Frank E. ^{[4
,7
]}

Tu, Shenyinying ^{[5
,7
]}

Wachter, Andreas ^{[5
,7
]}

Wei, Ermin ^{[5
,7
]}

Wong, Elizabeth ^{[6
,7
]}

Gholami, Amin ^{[2
,9
]}

Sun, Kaizhao ^{[2
,8
,9
]}

Sun, Xu Andy ^{[9
]}

Elbert, Stephen T. ^{[10
,11
]}

Holzer, Jesse T. ^{[10
,11
]}

Veeramany, Arun ^{[10
,11
]}

机构：

[1] Lawrence Livermore Natl Lab, Livermore, CA 94550 USA

[2] Georgia Inst Technol, Atlanta, GA 30332 USA

[3] Team Gollnlp, Livermore, CA 94550 USA

[4] Lehigh Univ, Bethlehem, PA USA

[5] Northwestern Univ, Evanston, IL USA

[6] Univ Calif San Diego, San Diego, CA USA

[7] Team GO SNIP, Chicago, IL USA

[8] MIT, Cambridge, MA USA

[9] Team GMI GO, Cambridge, MA USA

[10] Pacific Northwest Natl Lab, Richland, WA USA

[11] Grid Optimizat Competit Org Team, Richland, WA USA

来源：

OPERATIONS RESEARCH | 2023年 / 71卷 / 06期

基金：

美国国家科学基金会;

关键词：

security-constrained AC optimal power flow; optimization competition; complementarity constraints; large-scale optimization; nonlinear optimization; PART I; ALGORITHM; DISPATCH;

D O I：

10.1287/opre.2022.0315

中图分类号：

C93 [管理学];

学科分类号：

12 ; 1201 ; 1202 ; 120202 ;

摘要：

The optimal power-flow problem is central to many tasks in the design and operation of electric power grids. This problem seeks the minimum-cost operating point for an electric power grid while satisfying both engineering requirements and physical laws describing how power travels through the electric network. By additionally considering the possibility of component failures and using an accurate alternating current (AC) power-flow model of the electric network, the security-constrained AC optimal power flow (SC-AC-OPF) problem is of paramount practical relevance. To assess recent progress in solution algorithms for SC-AC-OPF problems and spur new innovations, the U.S. Department of Energy's Advanced Research Projects Agency-Energy organized Challenge 1 of the Grid Optimization (GO) competition. This special issue includes papers authored by the top three teams in Challenge 1 of the GO Competition (Teams gollnlp, GO-SNIP, and GMI-GO). To introduce these papers and provide context about the competition, this paper describes the SC-AC-OPF problem formulation used in the competition, overviews historical developments and the state of the art in SC-AC-OPF algorithms, discusses the competition, and summarizes the algorithms used by these three teams.

引用

页码：1997 / 2014

页数：19

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