• DocumentCode
    541406
  • Title

    Adaptive controller design based on neural network

  • Author

    Peng, Liu ; Wen-hui, Ning ; Dong-shan, Huang

  • Author_Institution
    Guangxi Power Grid Electr. Power Res. Inst., Nanning, China
  • fYear
    2010
  • fDate
    13-16 Sept. 2010
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Excitation control is one of the effective means to improve the stability of Power System. Excitation controller, which uses the Nonlinear characteristics and learning ability of Neural network, also the characteristics of adaptive control technology, has strong adaptability and robustness for the nonlinearity and uncertainty of the system. The simulation results to the single machine infinite bus system show that, this controller is more effective in the control, which can also ensure a higher level of voltage control and greater stability margin.
  • Keywords
    adaptive control; control system synthesis; neurocontrollers; nonlinear control systems; power system control; power system stability; robust control; voltage control; adaptive controller design; excitation control; neural network; neural network learning ability; nonlinear characteristics; power system stability; robustness; single machine infinite bus system; voltage control; Adaptive systems; Artificial neural networks; Control systems; Power system stability; Stability analysis; Voltage control; Adaptive control; Excitation control; Neural network; Power System stabilizer (PSS);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electricity Distribution (CICED), 2010 China International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4577-0066-8
  • Type

    conf

  • Filename
    5736121