Frequency and power components estimation from instantaneous power signal

Vladimir Terzija, Deyu Cai, Vladimir Stanojević, Goran Strbac

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

Abstract

In this paper, the problem of the simultaneous estimation of frequency and power components is investigated. It is solved through a new recursive estimator capable of estimating the unknown model parameters during severe dynamic changes in the system. By this, a simple nonlinear parameter model for the instantaneous power, taking into account the fundamental components of voltage and current, is used as a starting point for the power components and frequency estimation. In the model, the system frequency is considered as an unknown model parameter, and it is simultaneously estimated with other unknown parameters. This resulted in an efficient numerical algorithm for the measurement of power components, which is not sensitive to variations of the system frequency. This is an important achievement, which improves the accuracy of the method during network transients. The new estimator has been improved by the strategy for tuning its forgetting factor according to the system dynamics, and it is tested through computer simulations and by using data records obtained under laboratory conditions. The algorithm was developed for a single-phase system, and the approach might be easily extended to multiphase systems.

Original languageEnglish
Article number5928408
Pages (from-to)3640-3649
Number of pages10
JournalIEEE Transactions on Instrumentation and Measurement
Volume60
Issue number11
DOIs
Publication statusPublished - Nov 2011
Externally publishedYes

Keywords

  • Adaptive algorithms
  • frequency
  • measurement
  • nonlinear estimation
  • power components
  • recursive estimation

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