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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Language: | en_US |
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Institute of Electrical and Electronics Engineers (IEEE)
2014
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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. |
first_indexed | 2024-09-23T10:15:50Z |
format | Article |
id | mit-1721.1/87726 |
institution | Massachusetts Institute of Technology |
language | en_US |
last_indexed | 2024-09-23T10:15:50Z |
publishDate | 2014 |
publisher | Institute of Electrical and Electronics Engineers (IEEE) |
record_format | dspace |
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 AT hoverfranzs convexmodelsofdistributionsystemreconfiguration |