DocumentCode
45776
Title
Conic AC transmission system planning
Author
Taylor, Joshua A. ; Hover, Franz S.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada
Volume
28
Issue
2
fYear
2013
fDate
May-13
Firstpage
952
Lastpage
959
Abstract
We formulate mixed-integer conic approximations to AC transmission system planning. The first applies lift-and-project relaxations to a nonconvex model built around a semidefinite power flow relaxation. We then employ a quadratically constrained approximation to the DistFlow equations in constructing a second-order cone model that is convex without relaxation. We solve mixed integer linear and second-order cone programs using commercial software and assess their performance on two benchmark problems. As with DC power flow models and linear AC relaxations, the new models usually produce solutions which are infeasible under the original constraints. However, they are nearer to feasibility, and therefore represent stronger alternatives.
Keywords
integer programming; linear programming; load flow; power transmission planning; DC power flow model; DistFlow equations; benchmark problem; commercial software; conic AC transmission system planning; lift-and-project relaxations; linear AC relaxation; mixed integer linear-second-order cone programs; nonconvex model; quadratically-constrained approximation; second-order cone model; semidefinite power flow relaxation; Approximation methods; Computational modeling; Convex functions; Planning; Programming; AC transmission system planning; DistFlow equations; lift-and-project; mixed-integer second-order cone programming; semidefinite programming;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/TPWRS.2012.2214490
Filename
6308747
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