A Decomposition Algorithm with Fast Identification of Critical Contingencies for Large-Scale Security-Constrained AC-OPF

被引：2

作者：

Curtis, Frank E. ^{[1
]}

Molzahn, Daniel K. ^{[2
]}

Tu, Shenyinying ^{[3
]}

Wachter, Andreas ^{[3
]}

Wei, Ermin ^{[4
]}

Wonge, Elizabeth ^{[5
]}

机构：

[1] Lehigh Univ, Dept Ind & Syst Engn, Bethlehem, PA 18015 USA

[2] Georgia Inst Technol, Sch Elect & Comp Engn, Atlanta, GA 30313 USA

[3] Northwestern Univ, Dept Ind Engn & Management Sci, Evanston, IL 60208 USA

[4] Northwestern Univ, Dept Elect & Comp Engn, Dept Ind Engn & Management Sci, Evanston, IL 60208 USA

[5] Univ Calif San Diego, Dept Math, La Jolla, CA 92093 USA

来源：

OPERATIONS RESEARCH | 2023年 / 71卷 / 06期

关键词：

nonlinear optimization; network optimization; security-constrained AC optimal power flow; complementarity constraints; decomposition methods;

D O I：

10.1287/opre.2023.2453

中图分类号：

C93 [管理学];

学科分类号：

12 ; 1201 ; 1202 ; 120202 ;

摘要：

A decomposition algorithm for solving large-scale security-constrained AC optimal power flow problems is presented. The formulation considered is the one used in the Advanced Research Projects Agency-Energy Grid Optimization Competition, Challenge 1, held from November 2018 through October 2019. Algorithmic strategies are proposed for contingency selection, fast contingency evaluation, handling complementarity constraints, avoiding issues related to degeneracy, and exploiting parallelism. The results of numerical experiments are provided to demonstrate the effectiveness of the proposed techniques as compared with alternative strategies.

引用

页码：2031 / 2044

页数：15

共 34 条

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