• DocumentCode
    620456
  • Title

    Load frequency control for power systems via DMC

  • Author

    Wang Yulong ; Tan Wen

  • Author_Institution
    Sch. of Control & Comput. Eng., North China Electr. Power Univ., Beijing, China
  • fYear
    2013
  • fDate
    25-27 May 2013
  • Firstpage
    4183
  • Lastpage
    4188
  • Abstract
    Load frequency control (LFC) is an important technique in providing good power quality and maintaining safety, reliability and economics of power systems. This paper proposes a PID controller design method via dynamic matrix control (DMC), and applies it to the load frequency control problems. DMC does not need a detailed mathematical model of the controlled plant, and the controller design can be done using the step response of the system, which is simple and can achieve good performance. However, receding horizon DMC needs certain burden of computation and is not easy to implement in a conventional distributed control system (DCS). So this paper approximates DMC to a PID controller utilizing its closed-loop form. Simulation results show that the proposed method can achieve good performance compared with the traditional PID method, with better load disturbance rejection and robustness.
  • Keywords
    closed loop systems; control system synthesis; frequency control; matrix algebra; power station load; power system control; three-term control; DCS; DMC; LFC; PID controller design method; closed-loop form; controlled plant; conventional distributed control system; detailed mathematical model; dynamic matrix control; load disturbance rejection; load frequency control; load frequency control problems; power quality; power system economics; power system reliability; power systems; power systems safety; Educational institutions; Electronic mail; Frequency control; Load modeling; Power system dynamics; Upper bound; Dynamic model control (DMC); Load frequency control(LFC); PID control; Power systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2013 25th Chinese
  • Conference_Location
    Guiyang
  • Print_ISBN
    978-1-4673-5533-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2013.6561685
  • Filename
    6561685