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

Author:

Aravena Ignacio12ORCID,Molzahn Daniel K.34ORCID,Zhang Shixuan56ORCID,Petra Cosmin G.12ORCID,Curtis Frank E.74ORCID,Tu Shenyinying84ORCID,Wächter Andreas84ORCID,Wei Ermin84ORCID,Wong Elizabeth94,Gholami Amin36ORCID,Sun Kaizhao106ORCID,Sun Xu Andy1112ORCID,Elbert Stephen T.1314ORCID,Holzer Jesse T.1314ORCID,Veeramany Arun1314ORCID

Affiliation:

1. Lawrence Livermore National Laboratory, Livermore, California 94550;

2. Teamgollnlp;

3. Georgia Institute of Technology, Atlanta, Georgia 30332;

4. TeamGO-SNIP;

5. Brown University, Providence, Rhode Island 02903;

6. Team GMI-GO;

7. Lehigh University, Bethlehem, Pennsylvania 18015;

8. Northwestern University, Evanston, Illinois 60208;

9. University of California, San Diego, La Jolla, California 92093;

10. Alibaba Group (U.S.) Inc., Bellevue, Washington 98004;

11. Masachusetts Institute of Technology, Cambridge, Massachusetts 02142;

12. pTeam GMI-GO;

13. Pacific Northwest National Laboratory, Richland, Washington 99352;

14. Grid Optimization Competition Organization Team

Abstract

Intro to the ARPA-E Grid Optimization Competition In “Recent Developments in Security-Constrained AC Optimal Power Flow: Overview of Challenge 1 in the ARPA-E Grid Optimization Competition,” we review the state of the art in practical algorithms for scheduling power-systems operations in the short term and the results of the recent competition organized by the U.S. Advanced Research Projects Agency–Energy. We explain the mixed-integer nonlinear formulation used in the competition for nonspecialists in electrical engineering, the context and organization of the competition, and the performance of competitors. We find that the collective approaches and results of competitors provide support for efforts to move nonlinear optimization techniques into industrial applications, as they have proven to be a robust and efficient alternative to current linear approximation techniques.

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

Management Science and Operations Research,Computer Science Applications

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Two efficient logarithmic formulations to solve nonconvex economic dispatch;Electric Power Systems Research;2024-04

2. Large-Scale Grid Optimization: the Workhorse of Future Grid Computations;Current Sustainable/Renewable Energy Reports;2023-07-10

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