• DocumentCode
    653601
  • Title

    Implementation of DSTATCOM using Neural Network Based Radial Basis Function

  • Author

    Singh, Bawa ; Arya, Sabha Raj ; Dube, Sunil Kumar ; Chandra, Aniruddha ; Al-Haddad, Kamal

  • Author_Institution
    Dept. of Electr. Eng., I.I.T. Delhi, New Delhi, India
  • fYear
    2013
  • fDate
    6-11 Oct. 2013
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    This paper deals with an implementation of three-phase Distribution Static Compensator (DSTATCOM) using a NNRBF (Neural Network Based Radial Basis Function) control algorithm for power quality improvement. It is used for harmonics elimination, load balancing and reactive power compensation for PFC (Power Factor Correction) and ZVR (Zero Voltage Regulation) under linear/ nonlinear loads. The RBF based control algorithm is used for extraction of fundamental weighted value of active and reactive power components of load currents for estimation of reference supply currents. A prototype of DSTATCOM is developed using a DSP (Digital Signal Processor). Test results demonstrate the satisfactory performance of DSTATCOM with proposed control algorithm for compensation of nonlinear loads.
  • Keywords
    harmonics suppression; neurocontrollers; power factor correction; power supply quality; radial basis function networks; reactive power control; static VAr compensators; DSP; DSTATCOM; NNRBF control algorithm; PFC; ZVR; active power component; digital signal processor; harmonics elimination; linear-nonlinear loads; load balancing; load currents; neural network-based radial basis function; power factor correction; power quality improvement; reactive power compensation; reactive power component; reference supply current estimation; three-phase distribution static compensator; zero voltage regulation; Artificial neural networks; Filtering algorithms; Harmonic analysis; Power harmonic filters; Radio frequency; STATCOM; Distortion; Gaussian basis function; Load balancing; NNRBF; Weights;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industry Applications Society Annual Meeting, 2013 IEEE
  • Conference_Location
    Lake Buena Vista, FL
  • ISSN
    0197-2618
  • Type

    conf

  • DOI
    10.1109/IAS.2013.6682510
  • Filename
    6682510