• DocumentCode
    482672
  • Title

    Convergence process of the active power filter using adaptive inverse modeling

  • Author

    Yanfeng, Wu ; Hangtian, Xu ; Weining, Li ; Guoqing, Zhang

  • Author_Institution
    Petty Officers Training Dept., Naval Submarine Acad., Qingdao
  • fYear
    2008
  • fDate
    17-20 Oct. 2008
  • Firstpage
    2026
  • Lastpage
    2029
  • Abstract
    According to the law of conversion of energy, the charge of the average dc capacitor voltage of the active power filter can supply the real power flow information. If the average dc capacitor voltage is controlled to be a constant referenced value, it is necessary to drive the required filter compensating current into the supply, hence removing the effects of the load harmonics. The parts of the main circuits including the supply, the loads and the active power filter are defined as a generalized active power filter. A novel algorithm of the plant model and the inverse model are adaptive. It is necessary to know the precision model of the generalized active power filter. The only important point is that the plant model has the same dynamic response with the generalized active power filter. The modeling principle of the proposed active power filter is analyzed. The dynamic diagram of the model is achieved by means of simulation. The minimum and maximum amplitude of the expected mains current is established. The convergence process of the system is analyzed. The experiment results validate the principle analysis.
  • Keywords
    active filters; adaptive control; power filters; power system harmonics; active power filters; adaptive inverse control; constant referenced value; dynamic response; load harmonics; plant model; precision model; real power flow information; Active filters; Capacitors; Convergence; Current supplies; Inverse problems; Load flow; Power harmonic filters; Power supplies; Power system modeling; Voltage control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines and Systems, 2008. ICEMS 2008. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3826-6
  • Electronic_ISBN
    978-7-5062-9221-4
  • Type

    conf

  • Filename
    4771076