• DocumentCode
    2390533
  • Title

    Analysis of inter-area mode oscillations using intelligent system-centric controllers

  • Author

    Swann, Gerald ; Kamalasadan, Sukumar

  • Author_Institution
    Univ. of West Florida, Pensacola, FL, USA
  • fYear
    2010
  • fDate
    25-29 July 2010
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    In this paper, we analyze the inter-area mode oscillations in a two-area power system network using a new class of intelligent adaptive control systems based on a system-centric approach used for the control of multiple generators. The proposed architecture consists of a Model Reference Adaptive Controller (MRAC) operating in parallel with a Radial Basis Function Neural Network (RBFNN) to control individual generator oscillations in the presence of disturbances. The underlying structural feature is the introduction of an Intelligent Supervisory Loop (ISL) to augment a conventional adaptive controller. The main advantage is that the proposed architecture provides individual generator control as well as suppresses inter-area mode oscillations in a two area, five machine, eight bus power system network in the presence of torque and fault disturbances.
  • Keywords
    model reference adaptive control systems; neurocontrollers; power generation control; radial basis function networks; eight bus power system network; fault disturbance; generator control; intelligent adaptive control systems; intelligent supervisory loop; intelligent system-centric controllers; inter-area mode oscillations; model reference adaptive controller; radial basis function neural network; torque disturbance; two-area power system; Intelligent Adaptive Control; Intelligent supervisory loop; Inter-area mode oscillations; Power system stabilizer; Radial Basis Function Neural Network; System-centric controller;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2010 IEEE
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4244-6549-1
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PES.2010.5590192
  • Filename
    5590192