State estimation algorithm considering effects of model inaccuracies

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations


To consider model inaccuracies, existing state estimation approaches augment the state vector by adding the suspicious model parameters. In this paper, the extended least squares estimation approach is applied to design a more general state estimation algorithm for considering power network model errors, without adding the uncertain model parameters to the state vector. Preliminary studies have demonstrated that the method may enhance estimation accuracy when model errors exist.

Original languageEnglish
Title of host publication2007 IEEE SoutheastCon
Number of pages4
StatePublished - 2007
Event2007 IEEE SoutheastCon - Richmond, VA, United States
Duration: Mar 22 2007Mar 25 2007

Publication series

NameConference Proceedings - IEEE SOUTHEASTCON
ISSN (Print)0734-7502


Conference2007 IEEE SoutheastCon
Country/TerritoryUnited States
CityRichmond, VA

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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