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

Low, Steven H. (2014) Convex Relaxation of Optimal Power Flow — Part I: Formulations and Equivalence. IEEE Transactions on Control of Network Systems, 1 (1). pp. 15-27. ISSN 2325-5870 . http://resolver.caltech.edu/CaltechAUTHORS:20140521-104006650

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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 relationships among them. Part II presents sufficient conditions under which the convex relaxations are exact.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1109/TCNS.2014.2309732DOIArticle
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6756976PublisherArticle
Additional Information:© 2014 IEEE. Manuscript received September 23, 2013; revised February 5, 2014; February 19, 2014; accepted February 28, 2014. Date of publication March 5, 2014; date of current version April 9, 2014. This work was supported in part by NSF under Grant NetSE CNS 0911041, in part by ARPA-E under Grant GENI DE-AR0000226, in part by the National Science Council of Taiwan under Grant NSC 103-3113-P-008-001, in part by Southern California Edison, in part by the Los Alamos National Lab,and in part by Caltech's Resnick Institute. A preliminary and abridged version has appeared in [S. H. Low, “Convex relaxation of optimal power flow: A tutorial,” in Proc. IREP Symp. Bulk Power Syst. Dyn. Control(IREP), Rethymnon, Greece, Aug. 2013.]. Recommended by Associate Editor M. Chertkov. We thank the anonymous reviewers for their helpful suggestions.
Group:Resnick Sustainability Institute
Funders:
Funding AgencyGrant Number
NSFNetSE CNS 0911041
ARPA-EGENI DE-AR0000226
National Science Council of TaiwanNSC 103-3113-P-008-001
Southern California EdisonUNSPECIFIED
Los Alamos National LaboratoryUNSPECIFIED
Caltech's Resnick InstituteUNSPECIFIED
Subject Keywords:Convex relaxation, optimal power flow, power systems, quadratically constrained quadratic program (QCQP), second-order cone program (SOCP), semidefinite program (SDP), semidefinite relaxation
Record Number:CaltechAUTHORS:20140521-104006650
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20140521-104006650
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:45868
Collection:CaltechAUTHORS
Deposited By: Kristin Buxton
Deposited On:27 May 2014 20:27
Last Modified:27 May 2014 20:27

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