arXiv Analytics

Sign in

arXiv:1308.6718 [math.OC]AbstractReferencesReviewsResources

Reduced-Complexity Semidefinite Relaxations of Optimal Power Flow Problems

Martin S. Andersen, Anders Hansson, Lieven Vandenberghe

Published 2013-08-30, updated 2013-12-06Version 2

We propose a new method for generating semidefinite relaxations of optimal power flow problems. The method is based on chordal conversion techniques: by dropping some equality constraints in the conversion, we obtain semidefinite relaxations that are computationally cheaper, but potentially weaker, than the standard semidefinite relaxation. Our numerical results show that the new relaxations often produce the same results as the standard semidefinite relaxation, but at a lower computational cost.

Comments: Revised manuscript; accepted for publication in IEEE Trans. on Power Systems
Categories: math.OC
Subjects: 90C22, 90C06, G.1.6, G.2.2
Related articles: Most relevant | Search more
arXiv:1804.04248 [math.OC] (Published 2018-04-11)
Empirical Investigation of Non-Convexities in Optimal Power Flow Problems
arXiv:1912.09232 [math.OC] (Published 2019-12-19)
Improving Clique Decompositions of Semidefinite Relaxations for Optimal Power Flow Problems
arXiv:2211.03969 [math.OC] (Published 2022-11-08)
Pitfalls of Zero Voltage Values in Optimal Power Flow Problems