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      Convex Relaxation of Optimal Power Flow, Part I: Formulations and Equivalence

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          Abstract

          This tutorial summarizes recent advances in the convex relaxation of the optimal power flow (OPF) problem, focusing on structural properties rather than algorithms. Part I presents two power flow models, formulates OPF and their relaxations in each model, and proves equivalence relations among them. Part II presents sufficient conditions under which the convex relaxations are exact.

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          Semidefinite Relaxation of Quadratic Optimization Problems

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            Zero Duality Gap in Optimal Power Flow Problem

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              Optimal Power Flow Solutions

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                Author and article information

                Journal
                2014-05-04
                Article
                10.1109/TCNS.2014.2309732
                1405.0766
                38cf5fec-2722-4730-af04-d1d5bd84f2b6

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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                Custom metadata
                S. H. Low. Convex Relaxation of Optimal Power Flow, Part I: Formulations and Equivalence, IEEE Transactions on Control of Network Systems, 15(1):15-27, March 2014
                Citation: IEEE Transactions on Control of Network Systems, 15(1):15-27, March 2014. This is an extended version with Appendices VIII and IX that provide some mathematical preliminaries and proofs of the main results
                math.OC cs.SY

                Numerical methods,Performance, Systems & Control
                Numerical methods, Performance, Systems & Control

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