The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Power flow optimization using positive quadratic programming

På svenska

Author

Summary, in English

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.

Publishing year

2011

Language

English

Document type

Conference paper

Topic

  • Control Engineering

Conference name

18th IFAC World Congress, 2011

Conference date

2011-08-28 - 2011-09-02

Conference place

Milan, Italy

Status

Published

Project

  • LCCC

Research group

  • LCCC