• DocumentCode
    2713447
  • Title

    Neural network controller for Static Synchronous Series Compensator (SSSC) in transient stability analysis

  • Author

    Padma, S. ; Rajaram, M. ; Lakshmipathi, R. ; Madhubalan, S.

  • Author_Institution
    Electr. & Electron. Eng. Dept., Anna Univ., Salem, India
  • fYear
    2011
  • fDate
    28-30 Jan. 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents a neural network controller for multi-level inverter based Static Synchronous Series Compensator (SSSC) for a multi-machine power system. The neural network controller is designed using back propagation network algorithm. Back Propagation algorithm is employed to update weights for the design of the proposed controller. The proposed neural network controller is capable of providing good dynamic performance compared to conventional Proportional - Integral (PI) controller. The simulation of neural network controller with a sample three area power system for various operating conditions is implemented in Matlab/Simulink platform.
  • Keywords
    backpropagation; control system synthesis; invertors; neurocontrollers; power system transient stability; static VAr compensators; Matlab-Simulink platform; PI controller; backpropagation network algorithm; multilevel inverter; multimachine power system; neural network controller; proportional integral controller; static synchronous series compensator; transient stability analysis; Artificial neural networks; Inverters; Power system dynamics; Power transmission lines; Reactive power; Voltage control; Back-propagation; Multi-level Inverter; Multi-machine system; PI control; SSSC; neural network controller;
  • 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.2011.5728066
  • Filename
    5728066