A New Self-Tuning Algorithm for the Frequency Estimation of Distorted Signals

V. Terzija, M. Djuri, B. Kovačevi

Research output: Contribution to journalArticlepeer-review

69 Citations (Scopus)

Abstract

This paper introduces a new self-tuning digital signal processing algorithm for local system frequency deviation measurement. The algorithm is derived using the non-recursive Least Error Square Technique accompanied with an updating procedure, which generally improves the algorithm properties: the measurement range, the immunity to a random noise and the accuracy. The algorithm developed takes into account the components of the fundamental frequency, the second through the M-th harmonics and a decaying DC component, so it could be used for the real-time distorted signals frequency estimation as well as for the harmonics measurement. To demonstrate the efficiency of the algorithm proposed, the results of the computer simulated, experimentally obtained and real-life data records tests are presented.

Original languageEnglish
Pages (from-to)1779-1785
Number of pages7
JournalIEEE Transactions on Power Delivery
Volume10
Issue number4
DOIs
Publication statusPublished - Oct 1995
Externally publishedYes

Keywords

  • computer relaying
  • frequency measurement
  • parameter estima- tion
  • power system harmonics

Fingerprint

Dive into the research topics of 'A New Self-Tuning Algorithm for the Frequency Estimation of Distorted Signals'. Together they form a unique fingerprint.

Cite this