• DocumentCode
    2714339
  • Title

    Radial basis Function Neural Network based STATCOM controller for power system dynamic stability enhancement

  • Author

    Datta, Subir ; Roy, A.K.

  • Author_Institution
    Dept. of Electr. Eng., Nat. Inst. of Technol. Silchar, Silchar, India
  • fYear
    2011
  • fDate
    28-30 Jan. 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The paper presents a new control method based on Neural Network technique to damp out the power system low frequency oscillations using STATCOM controller. The main objective of this paper is to investigate the power system dynamic stability enhancement by using neural network based FACTS (STATCOM) Controller. This study includes Proportional feedback, lead-lag, Radial basis function Neural Network controller. The effectiveness of the new controller is demonstrated through time domain simulation studies. The results of these studies show that the designed controller has an excellent capability in damping power system oscillations.
  • Keywords
    flexible AC transmission systems; neurocontrollers; power system stability; radial basis function networks; static VAr compensators; FACTS; STATCOM controller; power system dynamic stability enhancement; power system oscillations; radial basis function neural network; Automatic voltage control; Damping; Lead; Oscillators; Power system dynamics; Radial basis function networks; FACTS; Lead-lag; Radial Basis Function Neural Network Controller; STATCOM;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics (IICPE), 2010 India International Conference on
  • Conference_Location
    New Delhi
  • Print_ISBN
    978-1-4244-7883-5
  • Type

    conf

  • DOI
    10.1109/IICPE.2011.5728112
  • Filename
    5728112