• DocumentCode
    3545506
  • Title

    Control of DSTATCOM using adjustable step least mean square control algorithm

  • Author

    Arya, Sabha Raj ; Singh, Bawa ; Chandra, Aniruddha ; AI-Haddad, Kamal

  • Author_Institution
    Dept. of Electr. Eng., Indian Inst. of Technol. Delhi, New Delhi, India
  • fYear
    2012
  • fDate
    19-22 Dec. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    A DSTATCOM (Distribution Static Compensator) using an adjustable step least mean square (LMS) control algorithm is presented for power quality improvement under linear/nonlinear loads. Adjustable step LMS control algorithm is used for calculation of reference signal source currents in terms of average weighted active and reactive components/elements. It reduces the effect of nonlinearity by updating the value of step size. It is able to solve the problem at fast convergence rate and steady state error compared to traditional LMS algorithm. This control algorithm is implemented using a DSP for improvement of power quality. Discrete simulation and test results show the satisfactory performance of adjustable step control algorithm under time varying loads.
  • Keywords
    digital signal processing chips; least mean squares methods; power supply quality; static VAr compensators; DSP; DSTATCOM control; LMS algorithm; adjustable step LMS control; adjustable step least mean square control algorithm; average weighted active components; average weighted active reactive components; average weighted reactive components; average weighted reactive elements; discrete simulation; distribution static compensator; linear-nonlinear loads; power quality; reference signal source currents; time varying loads; Algorithm design and analysis; Harmonic analysis; Least squares approximation; Power harmonic filters; Signal processing algorithms; Voltage control; AC bus; Adjustable step size; DSTATCOM; LMS control algorithm; Load Balancing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power India Conference, 2012 IEEE Fifth
  • Conference_Location
    Murthal
  • Print_ISBN
    978-1-4673-0763-5
  • Type

    conf

  • DOI
    10.1109/PowerI.2012.6479508
  • Filename
    6479508