English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

In the power system, state estimation (SE) is important monitoring task forthe reliable operation of the system. The optimal estimate from the SE isdelivered to all EMS application such as fault analysis, automatic generationcontrol. Hence, it is crucial to have good estimation before taking anycritical actions. However, the SE problem is challenging problem due tononconvexity of power flow equations in the nonlinear AC power flow model,which give us a usually local solution. To deal with this nonconvexity, somerecent literatures applied the convex semi-definite (SDP) relaxation techniqueto relax the SE problem attaining or approximating a global solution. In thispaper, we investigate the rank of this technique, which is critical to yield aphysically meaningful solution with the five-bus test system and propose newapproach to possibly reduce the rank by complementing the traditional set ofmeasurement with PMU data. Numerical tests on the standard IEEE 14, 30, 57,118-bus test system are presented for the demonstration.

Examining the rank of Semi-definite Programming for Power System State Estimation