A recursive DFT based technique for accurate estimation of grid voltage frequency

Md. Shamim Reza, Mihai Ciobotaru, Vassilios G. Agelidis

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

9 Citations (Scopus)

Abstract

This paper proposes an estimation technique of the single-phase grid voltage fundamental frequency under distorted conditions. The proposed frequency estimation technique relies on a band-pass filter and an algorithm based on three consecutive samples. The band-pass filter relying on the recursive discrete Fourier transform (DFT) and inverse recursive DFT is used to extract the instantaneous grid voltage fundamental component. The algorithm based on three consecutive samples is then used to estimate the grid voltage fundamental frequency. The estimated frequency is used to synchronize the window size of the band-pass filter with the period of the grid voltage waveform. The proposed frequency estimation technique is relatively simple, computationally efficient and can also estimate the fundamental frequency accurately from a grid voltage waveform distorted by DC offset and harmonics. Simulation results are presented to verify the performance of the proposed technique.
Original languageEnglish
Title of host publicationProceedings IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages6420-6425
Number of pages6
ISBN (Electronic)9781479902248
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event39th Annual Conference of the IEEE Industrial Electronics Society, IECON 2013 - Vienna, Austria
Duration: 10 Nov 201314 Nov 2013

Conference

Conference39th Annual Conference of the IEEE Industrial Electronics Society, IECON 2013
CountryAustria
CityVienna
Period10/11/1314/11/13

Keywords

  • Discrete Fourier transform (DFT)
  • frequency estimation
  • recursive DFT
  • single-phase voltage system

Fingerprint Dive into the research topics of 'A recursive DFT based technique for accurate estimation of grid voltage frequency'. Together they form a unique fingerprint.

Cite this