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Exponential Modulation Integral Observer for Online Detection of the Fundamental and Harmonics in Grid-Connected Power Electronics Equipment

  • Hin Sang Lam
  • , Peng Li
  • , Boli Chen
  • , Wai Man Ng
  • , Thomas Parisini*
  • , S. Y.R. Hui
  • *Corresponding author for this work
  • Nanyang Technological University
  • Harbin Institute of Technology Shenzhen
  • University College London
  • The University of Hong Kong
  • Imperial College London
  • University of Cyprus
  • University of Trieste

Research output: Contribution to journalArticlepeer-review

Abstract

Harmonic current estimation is required in active power filters for compensation purposes. The most efficient way of calculating the total harmonic current up to the infinite order is to subtract the fundamental component from the distorted current. Direct determination of the fundamental component of a distorted current of mains frequency was realized recently with a third-order modulation integral observer. This article shows that using an exponential modulation function (Exp-MF) for the integral observer will: 1) significantly enhance the robustness of the observer against noise and 2) automatically remove the low-frequency envelope arising from the D/A and A/C sampling processes compared to previous polynomial modulation function. These new and advantageous features are supported with detailed analysis and experimental verification. The robust observer can be implemented in grid-connected power electronics circuits that require the instantaneous information of the fundamental and/or harmonic currents. Practical comparative tests with the adaptive notch filter and recursive discrete Fourier transform (DFT) methods in an active power filter have confirmed the good performance under both the steady and dynamic states of the proposed Exp-MF integral observer.

Original languageEnglish
Pages (from-to)1821-1833
Number of pages13
JournalIEEE Transactions on Control Systems Technology
Volume30
Issue number5
DOIs
StatePublished - 1 Sep 2022
Externally publishedYes

Keywords

  • Active power filters (APFs)
  • fundamental extraction
  • harmonics detection

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