• DocumentCode
    2246058
  • Title

    Power system transmission section security protection control program

  • Author

    Li, Gang ; Wang, Zeng-ping ; Ren, Jian-wen ; Zhen, Xu-feng

  • Author_Institution
    Key Lab. of Power Syst. Protection & Dynamic Security Monitoring & Control, North China Electr. Power Univ., Baoding, China
  • Volume
    2
  • fYear
    2010
  • fDate
    11-14 July 2010
  • Firstpage
    951
  • Lastpage
    955
  • Abstract
    The removal of overload lines can cause power flow transferring, which may give rise to some transmission lines overload. By analysis of available methods of determining transmission sections with shortcomings, this paper proposes a new way to determine transmissions section based on real-time power flows, and then deduce a new criterion of transmission section security protection based on the redundancy of normal line´s power flows. A new transmission section security protection control scheme based on wide area measurement system (WAMS) is also proposed. When there is line overload, we should make a decision according to the protection criterion, if the transmission lines are safe after the overload removal, allow the backup protection to cut off the overload line; if not, block the protection. Therefore, it can avoid cascading overload tripping. At last, the validity of proposed algorithm is verified by the simulation results of CEPRI 36-bus system.
  • Keywords
    power system security; power transmission control; power transmission lines; power transmission protection; CEPRI 36-bus system; WAMS; power flow; power system transmission control program; power system transmission protection; power system transmission section; power system transmission security; transmission lines overload; wide area measurement system; Load flow; Machine learning; Power system dynamics; Real time systems; Redundancy; Security; Backup protection; Control program; Distribution coefficient; Transmission section; WAMS;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-6526-2
  • Type

    conf

  • DOI
    10.1109/ICMLC.2010.5580609
  • Filename
    5580609