• DocumentCode
    3666274
  • Title

    Sliding-mode-based disturbance rejection control of nonlinear power systems with renewable sources

  • Author

    Hong Liu; Dianwei Qian

  • Author_Institution
    Sch. of Control &
  • fYear
    2015
  • Firstpage
    238
  • Lastpage
    243
  • Abstract
    In this paper, an integral sliding mode control (I-SMC) method for load frequency control (LFC) is investigated in interconnected power systems in the presence of wind turbines. Generation rate constraint (GRC) has been considered. For implementation, neural networks are adopted to approximate the entire uncertainties. The integral sliding mode controllers and the neural networks work in parallel to achieve disturbance rejection control. It has been observed from simulation results that the presented method was able to maintain the feasibility, validity and robustness.
  • Keywords
    "Wind turbines","Power system stability","Artificial neural networks","Uncertainty","Simulation","Sliding mode control"
  • Publisher
    ieee
  • Conference_Titel
    Advanced Mechatronic Systems (ICAMechS), 2015 International Conference on
  • Electronic_ISBN
    2325-0690
  • Type

    conf

  • DOI
    10.1109/ICAMechS.2015.7287116
  • Filename
    7287116