• DocumentCode
    719723
  • Title

    Reference signal generation for shunt active power filter using adaptive filtering approach

  • Author

    Tamboli, Dipti A. ; Chile, R.H.

  • Author_Institution
    Dept. of Electron. & Telecommun. Eng., SVERI´s Coll. of Eng., Pandharpur, India
  • fYear
    2015
  • fDate
    28-30 May 2015
  • Firstpage
    766
  • Lastpage
    770
  • Abstract
    Power Quality issues are becoming a major concern for today´s power system engineers. Large scale incorporation of non-linear loads has the potential to raise harmonic voltages and currents in an electrical distribution system to unacceptable high levels that can adversely affect the system. Active power filter (APF) based on power electronic technology is currently considered as the most competitive equipment for mitigation of harmonics and reactive power simultaneously. This paper deals with the noise cancellation which is one of the applications of adaptive filter in which different adaptive algorithms are used. Here two types of algorithms are used namely Normalized Least Mean Square (LMS) and Recursive Least Square (RLS) for harmonic noise cancelling. A SIMULINK model is developed using these algorithms. The results shown that the RLS algorithms present a better dynamic performance than NLMS in eliminating the total harmonic distortion (THD).
  • Keywords
    adaptive filters; harmonic distortion; least squares approximations; power harmonic filters; recursive estimation; APF; LMS; RLS; RLS algorithms; SIMULINK model; THD; adaptive algorithms; adaptive filtering approach; harmonic noise cancelling; noise cancellation; nonlinear loads; normalized least mean square; power electronic technology; recursive least square; reference signal generation; shunt active power filter; total harmonic distortion; Adaptation models; Current measurement; Load modeling; MATLAB; Mathematical model; Noise cancellation; Power harmonic filters; Active Power Filters (APF); Adaptive Noise Cancellation (ANC); Normalized Least Mean Square (NLMS); Recursive Least Square(RLS);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Instrumentation and Control (ICIC), 2015 International Conference on
  • Conference_Location
    Pune
  • Type

    conf

  • DOI
    10.1109/IIC.2015.7150845
  • Filename
    7150845