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

• 成果类型: Article
• 署名作者: Curtis, Frank E.; Molzahn, Daniel K.; Tu, Shenyinying; Wachter, Andreas; Wei, Ermin; Wonge, Elizabeth
• 署名单位: Lehigh University; University System of Georgia; Georgia Institute of Technology; Northwestern University; Northwestern University; University of California System; University of California San Diego
• 刊物名称: OPERATIONS RESEARCH
• ISSN/ISSBN: 0030-364X
• DOI: 10.1287/opre.2023.2453
• 发表日期: 2023
• 关键词: nonlinear optimization; network optimization; security-constrained AC optimal power flow; complementarity constraints; decomposition methods

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.