• DocumentCode
    128497
  • Title

    Generalized predictive control -based selective harmonic compensation scheme for active power filters

  • Author

    Liu Yang ; Zhao Jin ; Geng Tao

  • Author_Institution
    Inst. of Autom., Huazhong Univ. of Sci. & Tech, Wuhan, China
  • fYear
    2014
  • fDate
    9-11 June 2014
  • Firstpage
    803
  • Lastpage
    807
  • Abstract
    A high precision selective harmonic compensation scheme for active power filters (APF), which was designed by using the basic theory of generalized predictive control (GPC), is proposed in this paper. A transfer function model -based GPC strategy is adopted. The strategy can compensate the delay in detecting the harmonic. And better result of compensation for harmonic can be achieved. As the Kalman filter can detect each order harmonic separately, the compensation on delay time arouse from digital implementation is performed. The proposed scheme improves the stability of APF and the precision of harmonic compensation. The scheme proposed is valid in both single phase and three phase inverters. The effectiveness of the scheme is verified by simulation.
  • Keywords
    Kalman filters; compensation; delays; invertors; power harmonic filters; power system harmonics; power system stability; predictive control; transfer functions; APF; APF stability; GPC theory; Kalman filter; active power filters; delay compensation; generalized predictive control; selective harmonic compensation scheme; single phase inverters; three phase inverters; transfer function model; Active filters; Delays; Harmonic analysis; Kalman filters; Power harmonic filters; Predictive control; active power filter; delay compensation; generalized predictive control; harmonic currents;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications (ICIEA), 2014 IEEE 9th Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4799-4316-6
  • Type

    conf

  • DOI
    10.1109/ICIEA.2014.6931272
  • Filename
    6931272