Advanced

Power flow optimization using positive quadratic programming

Lavaei, Javad; Rantzer, Anders LU and Low, Steven (2011) 18th IFAC World Congress, 2011
Abstract
The problem to minimize power losses in an electrical network subject to voltage and power constraints is in general hard to solve. However, it has recently been discovered that semidefinite programming relaxations in many cases enable exact computation of the global optimum. Here we point out a fundamental reason for the successful relaxations, namely that the passive network components give rise to matrices with nonnegative off-diagonal entries. Recent progress on quadratic programming with Metzler matrix structure can therefore be applied.
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to conference
publication status
published
subject
conference name
18th IFAC World Congress, 2011
external identifiers
  • Scopus:84866773283
project
LCCC
language
English
LU publication?
yes
id
2cbaf9ef-a4ca-4d9c-8693-aba531a244e5 (old id 2203379)
date added to LUP
2011-11-09 10:01:18
date last changed
2016-10-13 04:53:42
@misc{2cbaf9ef-a4ca-4d9c-8693-aba531a244e5,
  abstract     = {The problem to minimize power losses in an electrical network subject to voltage and power constraints is in general hard to solve. However, it has recently been discovered that semidefinite programming relaxations in many cases enable exact computation of the global optimum. Here we point out a fundamental reason for the successful relaxations, namely that the passive network components give rise to matrices with nonnegative off-diagonal entries. Recent progress on quadratic programming with Metzler matrix structure can therefore be applied.},
  author       = {Lavaei, Javad and Rantzer, Anders and Low, Steven},
  language     = {eng},
  title        = {Power flow optimization using positive quadratic programming},
  year         = {2011},
}