• DocumentCode
    2636495
  • Title

    Application of sliding mode prediction control to AGC systems considering signal delay

  • Author

    Zhang, J.H. ; Hao, J.H. ; Zhang, G.H. ; Hou, G.L.

  • Author_Institution
    Dept. of Autom., North China Electr. Power Univ., Beijing
  • fYear
    2008
  • fDate
    10-12 Dec. 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Varied ancillary services in the deregulated power systems call upon a more open, adaptable and distributed communication network, which, however, has accompanied with other inherent problems, such as communication delay, packet loss and limited bandwidth. This paper presents a new automatic generation control (AGC) approach to handle signal delays and data dropouts by incorporating sliding mode prediction into variable structure control. Through building buffers in the governor nodes, the proposed scheme can compensate random delay and packet dropouts induced by the communication network. Finally, a three-area AGC system is used as an example to demonstrate the effectiveness of the proposed scheme.
  • Keywords
    compensation; control engineering computing; delays; power generation control; predictive control; variable structure systems; bandwidth limitation; distributed communication network delay; networked automatic generation control system; packet dropout; packet loss; power system deregulation; random time delay compensation; sliding mode prediction control; variable structure control; Automatic control; Automatic generation control; Bandwidth; Buildings; Communication networks; Communication system control; Control systems; Delay systems; Power systems; Sliding mode control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems and Control in Aerospace and Astronautics, 2008. ISSCAA 2008. 2nd International Symposium on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-4244-3908-9
  • Electronic_ISBN
    978-1-4244-2386-6
  • Type

    conf

  • DOI
    10.1109/ISSCAA.2008.4776190
  • Filename
    4776190