arXiv · 2104.06695
Improving Optimal Power Flow Relaxations Using 3-Cycle Second-Order Cone Constraints
Abstract
This paper develops a novel second order cone relaxation of the semidefinite programming formulation of optimal power flow, that does not imply the `angle relaxation'. We build on a technique developed by Kim et al., extend it for complex matrices, and apply it to 3x3 positive semidefinite matrices to generate novel second-order cone constraints that augment upon the well-known 2x2 principal-minor based second-order cone constraints. Finally, we apply it to optimal power flow in meshed networks and provide numerical illustrations.
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Frederik Geth, James Foster. 2021-04-14. Improving Optimal Power Flow Relaxations Using 3-Cycle Second-Order Cone Constraints. https://arxiv.org/abs/2104.06695
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