• DocumentCode
    2249011
  • Title

    Excitation controllers

  • Author

    Flynn, D. ; Brown, M.D.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Queen´´s Univ., Belfast, UK
  • fYear
    1998
  • fDate
    23-24 Feb 1998
  • Firstpage
    42614
  • Lastpage
    910
  • Abstract
    Power system control essentially requires a continuous balance between electrical generation and a varying load demand, while maintaining system frequency, voltage levels and network security. However, plant disturbances can vary between minor and large imbalances in mechanical and electrical generated power, while the characteristics of a power system change significantly between heavy and light loading conditions, with varying numbers of generating units and transmission lines in operation at different times. The result is a highly complex and nonlinear dynamic system. Research studies have suggested a number of strategies to deal automatically with plant nonlinearities and plant ageing, perhaps the most significant of which is adaptive control. These methods can improve overall control of turbogenerator systems, extending their operational stability margins. The authors discuss adaptive control and neural network techniques in excitation controllers
  • Keywords
    power system control; adaptive control; excitation controllers; generating units; heavy loading condition; light loading condition; network security; neural network techniques; nonlinear dynamic system; operational stability margins; plant ageing; plant disturbances; power system control; system frequency; transmission lines; turbogenerator systems control; varying load demand; voltage levels;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Power System Dynamics Stabilisation (Digest No. 1998/196 and 1998/278), IEE Colloquium on
  • Conference_Location
    Coventry
  • Type

    conf

  • DOI
    10.1049/ic:19980037
  • Filename
    666482