• DocumentCode
    2323711
  • Title

    Building and applying the mathematic model of no-load property curve of turbo-generator´s rotating exciter system

  • Author

    Wu Tao ; Shiping, Zhou

  • Author_Institution
    Electr. Test & Res. Inst., Hubei, China
  • Volume
    1
  • fYear
    1998
  • fDate
    18-21 Aug 1998
  • Firstpage
    750
  • Abstract
    Since the 1980s, most large turbogenerators have usually used a rotating exciter system. Compared with static thyristor exciter systems, they have many advantages except for one shortcoming: they do not allow the direct monitoring of the rotor current of the rotating exciter system. This is not good for the safe running of turbogenerators. In practice, it is very important and necessary to monitor the value of rotor current online for running safety and other reasons. In this paper, the authors apply the important method of error theory-least square algorithm to build the best mathematical model of the no-load property curve of a turbogenerator rotating exciter system. They explain the calculation method and the steps in building a mathematical model of the no-load property curve carefully and apply it into the research and manufacture of a rotor current measuring instrument for the rotating exciter systems of turbogenerators
  • Keywords
    electric current; error analysis; exciters; least squares approximations; machine theory; rotors; turbogenerators; error theory; least square algorithm; mathematical modelling; no-load property curve; rotor current monitoring; turbogenerator rotating exciter system; Current measurement; Instruments; Mathematical model; Mathematics; Monitoring; Rotation measurement; Safety; Thyristors; Turbogenerators; Virtual manufacturing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power System Technology, 1998. Proceedings. POWERCON '98. 1998 International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-4754-4
  • Type

    conf

  • DOI
    10.1109/ICPST.1998.729065
  • Filename
    729065