Proving global optimality of ACOPF solutions

被引:18
作者
Gopinath, S. [1 ]
Hijazi, H. L. [1 ]
Weisser, T. [1 ]
Nagarajan, H. [1 ]
Yetkin, M. [2 ]
Sundar, K. [1 ]
Bent, R. W. [1 ]
机构
[1] Los Alamos Natl Lab, Los Alamos, NM 87545 USA
[2] Lehigh Univ, Dept Ind & Syst Engn, Bethlehem, PA 18015 USA
关键词
ACOPF; Convex relaxation; Global optimization; POLYNOMIAL OPTIMIZATION; RELAXATIONS; ALGORITHM; BRANCH;
D O I
10.1016/j.epsr.2020.106688
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We present our latest contributions in terms of mathematical modeling and algorithm development for the global optimization of the ACOPF problem. These contributions allow us to close the optimality gap on a number of open instances in the PGLIB and NESTA benchmark libraries. This is achieved by combining valid cut generation with semidefinite programming-based bound tightening. The mathematical formulations along with the solution algorithms are implemented in the modeling framework Gravity, an open-source platform for reproducible numerical experiments.
引用
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页数:7
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