• DocumentCode
    1820763
  • Title

    Variable step learning control algorithm for VSC based shunt compensator

  • Author

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

  • Author_Institution
    Dept. of Electr. Eng., Indian Inst. of Technol., Delhi, New Delhi, India
  • fYear
    2013
  • fDate
    8-11 July 2013
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    This paper proposes a variable step learning affine projection control algorithm used for control of three-phase VSC (Voltage Source Converter) based DSTATCOM (Distribution Static Compensator) for its various functions in the distribution system. These functions include reactive power compensation, harmonics elimination and load balancing under nonlinear loads with self supporting features of dc bus voltage of VSC. The proposed control algorithm is used for extraction of tuned value of active and reactive power components of load currents which are major components for extraction of reference supply currents. A VSC based DSTATCOM is modeled using MATLAB. Simulation results of proposed control algorithm are analyzed under steady state and dynamic conditions with satisfactory performance.
  • Keywords
    convertors; learning (artificial intelligence); mathematics computing; DSTATCOM; MATLAB; VSC based shunt compensator; distribution static compensator; harmonics elimination; load balancing; reactive power compensation; variable step learning affine projection control algorithm; variable step learning control algorithm; voltage source converter; Active filters; Algorithm design and analysis; Converters; Power harmonic filters; Reactive power; Signal processing algorithms; Voltage control; DSTATCOM; PFC; Reactive power compensation; Smoothing factor; Variable step learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics for Distributed Generation Systems (PEDG), 2013 4th IEEE International Symposium on
  • Conference_Location
    Rogers, AR
  • Type

    conf

  • DOI
    10.1109/PEDG.2013.6785640
  • Filename
    6785640