Two-stage improved recursive Newton-type algorithm for power-quality indices estimation

Vladimir V. Terzija, Vladimir Stanojević

Research output: Contribution to journalArticlepeer-review

43 Citations (Scopus)

Abstract

In the paper, a new improved recursive Newton-type algorithm (IRNTA) suitable for various measurement applications in the electric power systems is presented. Here, it is applied for power-quality (PQ) indices estimation according to the IEEE Standard 1459-2000. Basically, the algorithm is a recursive nonlinear estimator, improved with a strategy of sequentially tuning the forgetting factor. This approach generally improves the algorithm performance: immunity to random noise, accuracy, and the speed of convergence. The IRNTA considers the power frequency as an unknown model parameter and takes into account distortion of voltages and currents. Therefore, it is suitable for the real-time PQ monitoring. The algorithm has two stages. In the first stage, the input signal spectra and fundamental frequency are estimated, whereas in the second stage, the unknown PQ indices are calculated. To demonstrate the efficiency of the proposed algorithm, the results of computer simulations and laboratory testing are presented.

Original languageEnglish
Pages (from-to)1351-1359
Number of pages9
Journal2007 IEEE Power Engineering Society General Meeting, PES
Volume22
Issue number3
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event2007 IEEE Power Engineering Society General Meeting, PES - Tampa, FL, United States
Duration: 24 Jun 200728 Jun 2007

Keywords

  • IEEE Standard 1459-2000
  • Monitoring
  • Nonlinear estimation
  • Power quality (PQ)
  • Recursive algorithms

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