Robust estimation algorithm for power components measurement

Vladimir Terzija, Vladimir Stanojević

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

2 Citations (Scopus)

Abstract

This paper describes a new two stage robust Newton Type numerical algorithm for power components assessment in electric power systems according to the IEEE Standard 1459-2000. In order to estimate current and voltage spectra and the fundamental frequency simultaneously, in the first algorithm stage, the robust Newton Type Algorithm is applied. The algorithm robustness is achieved by developing an extra module called 'bad data detector'. In the second algorithm stage power components are calculated. As the main advantage, the technique provides estimates not sensitive to frequency deviations and bad data often appearing as a consequence of the communication error, incomplete measurement, errors in mathematical models etc. The algorithm performance is tested using a simulation example of processing distorted currents and voltages of an arc furnace.

Original languageEnglish
Title of host publication2006 IEEE PES Power Systems Conference and Exposition, PSCE 2006 - Proceedings
Pages2229-2235
Number of pages7
DOIs
Publication statusPublished - 2006
Externally publishedYes
Event2006 IEEE PES Power Systems Conference and Exposition, PSCE 2006 - Atlanta, GA, United States
Duration: 29 Oct 20061 Nov 2006

Publication series

Name2006 IEEE PES Power Systems Conference and Exposition, PSCE 2006 - Proceedings

Conference

Conference2006 IEEE PES Power Systems Conference and Exposition, PSCE 2006
Country/TerritoryUnited States
CityAtlanta, GA
Period29/10/061/11/06

Keywords

  • Arc furnace
  • Bad data detection
  • Nonlinear robust estimation
  • Power measurement
  • Power quality

Fingerprint

Dive into the research topics of 'Robust estimation algorithm for power components measurement'. Together they form a unique fingerprint.

Cite this