• DocumentCode
    1879720
  • Title

    Coordinative control of excitation, fast valving and resistant braking using artificial neural network

  • Author

    Yong, Min ; Lin-cheng, Xiu ; Li, Zhang ; Qi-rong, Jiang

  • Author_Institution
    Dept. of Electr. Eng., Tsinghua Univ., Beijing, China
  • fYear
    1993
  • fDate
    7-10 Dec 1993
  • Firstpage
    361
  • Abstract
    Quick-response excitation (QRE), dynamic resistance braking (DRB) and fast valving (FV) are all the important measures to improve the stability of power systems. All the time it is a difficult problem to coordinate the three kinds of nonlinear controllers. In this paper, a cooperative control of QRE, DRB and FV based on artificial neural networks (ANN) is proposed. Both the steady-state stability limits and the transient stability limits of the power system have been improved greatly
  • Keywords
    braking; control system synthesis; neural nets; power system control; power system stability; artificial neural networks; coordinated control; dynamic resistance braking control; fast valving control; power system stability; quick-response excitation control; steady-state stability limits; transient stability limits;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Advances in Power System Control, Operation and Management, 1993. APSCOM-93., 2nd International Conference on
  • Conference_Location
    IET
  • Print_ISBN
    0-85296-569-9
  • Type

    conf

  • Filename
    292739