Convex Models of Distribution System Reconfiguration

We derive new mixed-integer quadratic, quadratically constrained, and second-order cone programming models of distribution system reconfiguration, which are to date the first formulations of the ac problem that have convex, continuous relaxations. Each model can be reliably and efficiently solved to...

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Main Authors: Taylor, Joshua A., Hover, Franz S.
Other Authors: Massachusetts Institute of Technology. Department of Mechanical Engineering
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers (IEEE) 2014
Online Access:http://hdl.handle.net/1721.1/87726
https://orcid.org/0000-0002-2621-7633
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author Taylor, Joshua A.
Hover, Franz S.
author2 Massachusetts Institute of Technology. Department of Mechanical Engineering
author_facet Massachusetts Institute of Technology. Department of Mechanical Engineering
Taylor, Joshua A.
Hover, Franz S.
author_sort Taylor, Joshua A.
collection MIT
description We derive new mixed-integer quadratic, quadratically constrained, and second-order cone programming models of distribution system reconfiguration, which are to date the first formulations of the ac problem that have convex, continuous relaxations. Each model can be reliably and efficiently solved to optimality using standard commercial software. In the course of deriving each model, we obtain original quadratically constrained and second-order cone approximations to power flow in radial networks.
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spelling mit-1721.1/877262022-09-26T16:48:04Z Convex Models of Distribution System Reconfiguration Taylor, Joshua A. Hover, Franz S. Massachusetts Institute of Technology. Department of Mechanical Engineering Hover, Franz S. Hover, Franz S. Taylor, Joshua A. We derive new mixed-integer quadratic, quadratically constrained, and second-order cone programming models of distribution system reconfiguration, which are to date the first formulations of the ac problem that have convex, continuous relaxations. Each model can be reliably and efficiently solved to optimality using standard commercial software. In the course of deriving each model, we obtain original quadratically constrained and second-order cone approximations to power flow in radial networks. United States. Office of Naval Research (ONR grant 00014-02-1-0623) 2014-06-10T20:38:07Z 2014-06-10T20:38:07Z 2012-08 2011-09 Article http://purl.org/eprint/type/JournalArticle 0885-8950 1558-0679 INSPEC Accession Number: 12878982 http://hdl.handle.net/1721.1/87726 Taylor, Joshua A., and Franz S. Hover. “Convex Models of Distribution System Reconfiguration.” IEEE Trans. Power Syst. 27, no. 3 (August 2012): 1407–1413. https://orcid.org/0000-0002-2621-7633 en_US http://dx.doi.org/10.1109/tpwrs.2012.2184307 IEEE Transactions on Power Systems Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Institute of Electrical and Electronics Engineers (IEEE) Prof. Hover via Angie Locknar
spellingShingle Taylor, Joshua A.
Hover, Franz S.
Convex Models of Distribution System Reconfiguration
title Convex Models of Distribution System Reconfiguration
title_full Convex Models of Distribution System Reconfiguration
title_fullStr Convex Models of Distribution System Reconfiguration
title_full_unstemmed Convex Models of Distribution System Reconfiguration
title_short Convex Models of Distribution System Reconfiguration
title_sort convex models of distribution system reconfiguration
url http://hdl.handle.net/1721.1/87726
https://orcid.org/0000-0002-2621-7633
work_keys_str_mv AT taylorjoshuaa convexmodelsofdistributionsystemreconfiguration
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