State estimation in power engineering using the Huber robust regression technique

Elias Kyriakides, Siddharth Suryanarayanan, Gerald T. Heydt

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

The least-squares method has been used extensively for state estimation in electric power engineering. However, this method is not always suitable when the process matrix is characterized by structural defects. This letter demonstrates the Huber function technique in a power engineering application. This technique is a slight departure from the least-squares method and downweighs large residuals. A statistical test to identify possible structural imperfections in the model is introduced.

Original languageEnglish (US)
Pages (from-to)1183-1184
Number of pages2
JournalIEEE Transactions on Power Systems
Volume20
Issue number2
DOIs
StatePublished - May 2005

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State estimation
Defects
Statistical tests

Keywords

  • Huber
  • Least squares
  • Multicollinearity
  • Rank
  • Robust estimation
  • State estimation
  • Synchronous generators

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

State estimation in power engineering using the Huber robust regression technique. / Kyriakides, Elias; Suryanarayanan, Siddharth; Heydt, Gerald T.

In: IEEE Transactions on Power Systems, Vol. 20, No. 2, 05.2005, p. 1183-1184.

Research output: Contribution to journalArticle

Kyriakides, Elias ; Suryanarayanan, Siddharth ; Heydt, Gerald T. / State estimation in power engineering using the Huber robust regression technique. In: IEEE Transactions on Power Systems. 2005 ; Vol. 20, No. 2. pp. 1183-1184.
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