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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Bibliographic Details
Main Authors: Taylor, Joshua A. (Contributor), Hover, Franz S. (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Mechanical Engineering (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2014-06-10T20:38:07Z.
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Online Access:Get fulltext
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100 1 0 |a Taylor, Joshua A.  |e author 
100 1 0 |a Massachusetts Institute of Technology. Department of Mechanical Engineering  |e contributor 
100 1 0 |a Hover, Franz S.  |e contributor 
100 1 0 |a Hover, Franz S.  |e contributor 
100 1 0 |a Taylor, Joshua A.  |e contributor 
700 1 0 |a Hover, Franz S.  |e author 
245 0 0 |a Convex Models of Distribution System Reconfiguration 
260 |b Institute of Electrical and Electronics Engineers (IEEE),   |c 2014-06-10T20:38:07Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/87726 
520 |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. 
520 |a United States. Office of Naval Research (ONR grant 00014-02-1-0623) 
546 |a en_US 
655 7 |a Article 
773 |t IEEE Transactions on Power Systems