• DocumentCode
    1012204
  • Title

    ANN generalised inversion control of turbo-generator governor

  • Author

    Dai, X. ; Zhang, K. ; Zhang, T. ; Lu, X.

  • Author_Institution
    Dept. of Autom. Control, Southeast Univ., Nanjing, China
  • Volume
    151
  • Issue
    3
  • fYear
    2004
  • fDate
    5/1/2004 12:00:00 AM
  • Firstpage
    327
  • Lastpage
    333
  • Abstract
    An ANN generalised inversion control strategy for a turbo-generator governor is proposed. The ANN generalised inversion, which can approach the dynamic inversion of the original controlled system, is composed of a single static ANN and several linear components. Combining the ANN generalised inversion and the original system forms a pseudolinear composite system whose poles can be properly placed in the left complex plane to obtain an ideal open-loop frequency characteristic. Thus the turbo-generator governor control system can be linearised on a large scale without knowledge of the system´s accurate parameters and operating states. Meanwhile, an additional linear controller can be easily designed to form the closed-loop control system, based on linear control theory. The simulation results of both a single- and two-machine infinite-bus system show that the transient stability of the power system can be significantly enhanced by using the proposed control strategy.
  • Keywords
    closed loop systems; linear systems; neural nets; open loop systems; power system analysis computing; power system control; power system transient stability; turbogenerators; ANN generalised inversion control; closed-loop control system; dynamic inversion; linear component; linear controller; open-loop frequency characteristic; operating state; power system transient stability; pseudolinear composite system; turbogenerator governor; two-machine infinite-bus system;
  • fLanguage
    English
  • Journal_Title
    Generation, Transmission and Distribution, IEE Proceedings-
  • Publisher
    iet
  • ISSN
    1350-2360
  • Type

    jour

  • DOI
    10.1049/ip-gtd:20040380
  • Filename
    1306701