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

Frank E. Curtis (), Daniel K. Molzahn (), Shenyinying Tu (), Andreas Wächter (), Ermin Wei () and Elizabeth Wong ()
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Frank E. Curtis: Department of Industrial and Systems Engineering, Lehigh University, Bethlehem, Pennsylvania 18015
Daniel K. Molzahn: School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia 30313
Shenyinying Tu: Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, Illinois 60208
Andreas Wächter: Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, Illinois 60208
Ermin Wei: Department of Electrical and Computer Engineering, Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, Illinois 60208
Elizabeth Wong: Department of Mathematics, University of California–San Diego, La Jolla, California 92093

Operations Research, 2023, vol. 71, issue 6, 2031-2044

Abstract: 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.

Keywords: Special Issue on Computational Advances in Short-Term Power System Operations; nonlinear optimization; network optimization; security-constrained AC optimal power flow; complementarity constraints; decomposition methods (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:inm:oropre:v:71:y:2023:i:6:p:2031-2044

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