• DocumentCode
    550498
  • Title

    Load frequency control for wind-diesel hybrid systems

  • Author

    Tan Wen ; Zhang JiFen

  • Author_Institution
    Sch. of Control & Comput. Eng., North China Electr. Power Univ., Beijing, China
  • fYear
    2011
  • fDate
    22-24 July 2011
  • Firstpage
    5126
  • Lastpage
    5131
  • Abstract
    A wind-diesel hybrid power system is a feasible and economic method to supply power for remote areas. To maintain a sustainable and dependable power supply, the frequency of the system must be kept a constant. This paper adopts a two-degree-of-freedom internal model control (IMC) method to study the load frequency control problem for a wind-diesel hybrid power system. The method needs only to tune two parameters and is effective in rejecting disturbance. Due to the high-order transfer function of the system model, a PID reduction method is proposed to reduce the high-order IMC controller for easy implementation of the control system in practice. The design and simulation results show that the load frequency controller at the diesel generator can regulate the system frequency quickly, while the pitch controller at the wind turbine can attenuate the effect of the wind uncertainties on system frequency.
  • Keywords
    diesel-electric generators; frequency control; load regulation; power generation control; transfer functions; wind turbines; PID reduction method; diesel generator; economic method; high order IMC controller; high order transfer function; load frequency control; load frequency controller; pitch controller; power supply; system model; wind diesel hybrid system; wind turbine; Automatic generation control; Electronic mail; Frequency control; Hybrid power systems; Load modeling; Time frequency analysis; Wind turbines; Internal Model Control (IMC); Load Frequency Control (LFC); PID Control; Wind-Diesel Hybrid Systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2011 30th Chinese
  • Conference_Location
    Yantai
  • ISSN
    1934-1768
  • Print_ISBN
    978-1-4577-0677-6
  • Electronic_ISBN
    1934-1768
  • Type

    conf

  • Filename
    6000837