• DocumentCode
    2236242
  • Title

    Power quality analysis using piecewise adaptive Prony´s Method

  • Author

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

  • Author_Institution
    Sch. of Electr. Eng. & Telecommun., Univ. of New South Wales, Sydney, NSW, Australia
  • fYear
    2012
  • fDate
    19-21 March 2012
  • Firstpage
    926
  • Lastpage
    931
  • Abstract
    This paper proposes the application of the piecewise adaptive Prony´s Method for power quality (PQ) analysis. The singular value decomposition (SVD) and least square (LS) techniques are used for estimating modal components present in the Prony modelled grid voltage waveform. The conventional Prony spectrum equation is also modified to show the accurate average amplitude of each modal component in the frequency domain. The proposed modification of the conventional Prony spectrum equation eliminates the problems of threshold setting and zero value of damping factor of each modal component. PQ analysis is performed by using synthetically generated voltage waveforms based on an adaptive algorithm. The simulation results presented in this paper show that the Prony analysis can be an efficient tool for PQ assessment.
  • Keywords
    damping; least mean squares methods; power supply quality; singular value decomposition; Prony analysis; Prony modelled grid voltage waveform; adaptive algorithm; conventional Prony spectrum equation; damping factor; frequency domain; least square techniques; modal components; piecewise adaptive Prony´s method; power quality analysis; singular value decomposition; synthetically generated voltage waveforms; threshold setting; zero value; Abstracts; Australia; Computer languages; Educational institutions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Technology (ICIT), 2012 IEEE International Conference on
  • Conference_Location
    Athens
  • Print_ISBN
    978-1-4673-0340-8
  • Type

    conf

  • DOI
    10.1109/ICIT.2012.6210057
  • Filename
    6210057