• DocumentCode
    1431689
  • Title

    Application of dynamic optimisation to synchronous-generator excitation controllers

  • Author

    Humpage, W.D. ; Smith, J.R. ; Rogers, G.J.

  • Author_Institution
    University of Manchester Institute of Science & Technology, Power Systems Laboratory, Manchester, UK
  • Volume
    120
  • Issue
    1
  • fYear
    1973
  • fDate
    1/1/1973 12:00:00 AM
  • Firstpage
    87
  • Lastpage
    93
  • Abstract
    Beginning with the equations in the electrical axes of a synchronous generator in the form v = Lpi + G¿ri + Ri, plant models are developed in a form that is particularly suitable for use in optimal-control-systems studies as applied to turbogenerator units. Algebraic state-variable transformations and a form of modal elimination are given in providing means of reflecting into formal optimising methods generator variables selected from considerations of the derivation of control signals from them. From this basis, a control strategy is derived using the matrix Riccati algorithm, and the fault-recovery response of a synchronous generator incorporating the strategy in its excitation controller is investigated. In computer-simulation studies, comparisons are made between the response of a strategy of the kind now in wide practical application, on the one hand, and the formally derived strategy, on the other. To provide means of validating much of the detail of plant modelling, the simulation studies correspond, as far as is possible, to plant and to controlled-fault conditions, for which site-test results are available.
  • Keywords
    excitation; optimal control; synchronous generators; dynamic optimisation; fault recovery response; matrix Riccati algorithm; modal elimination; optimal control; state variable transformations; synchronous generator excitation controllers;
  • fLanguage
    English
  • Journal_Title
    Electrical Engineers, Proceedings of the Institution of
  • Publisher
    iet
  • ISSN
    0020-3270
  • Type

    jour

  • DOI
    10.1049/piee.1973.0017
  • Filename
    5251343