• DocumentCode
    1333796
  • Title

    Synthesis of neural controller applied to flexible AC transmission systems

  • Author

    Chen, Dingguo ; Mohler, Ronald R. ; Chen, Lung-Kee

  • Author_Institution
    Siemens Power Syst. Control, Brooklyn Park, MN, USA
  • Volume
    47
  • Issue
    3
  • fYear
    2000
  • fDate
    3/1/2000 12:00:00 AM
  • Firstpage
    376
  • Lastpage
    388
  • Abstract
    This paper first addresses the power system stability issue involving the regular generator-angle transient stability and load-driven voltage instability. Transient stabilization of simplified power systems equipped with the flexible AC transmission system (FACTS) device, the thyristor-controlled series capacitor (TCSC), is studied with consideration of unknown loads. With some off-line time-optimal trajectories computed based on the switching-times-variation method (STVM), some techniques are developed to synthesize robust near-time-optimal neural controllers. The theoretical support for these techniques is presented. The simulations illustrate the performance of the synthesized neural controllers. Furthermore, the results developed can be readily generalized to more general nonlinear systems
  • Keywords
    control system synthesis; flexible AC transmission systems; neurocontrollers; power engineering computing; power system stability; power transmission control; switching; FACTS device; flexible AC transmission systems; load-driven voltage instability; neural controller synthesis; nonlinear systems; power system stability; regular generator-angle transient stability; robust near-time-optimal neural controllers; switching-times-variation method; thyristor-controlled series capacitor; time-optimal trajectories; transient stabilization; Computational modeling; Control system synthesis; Flexible AC transmission systems; Power capacitors; Power generation; Power system stability; Power system transients; Robust control; Thyristors; Voltage;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7122
  • Type

    jour

  • DOI
    10.1109/81.841920
  • Filename
    841920