• DocumentCode
    441755
  • Title

    Least beating loop network intelligent control system

  • Author

    Li, Yong-wei ; Cheng, Fu-Yan ; Li, Wei ; Yu, Guo-Qing

  • Author_Institution
    Coll. of Electr. Eng., Hebei Univ. of Sci. & Technol., China
  • Volume
    3
  • fYear
    2005
  • fDate
    18-21 Aug. 2005
  • Firstpage
    1437
  • Abstract
    A new type of distribution line-protected mode for 10kV power supply network-least beating loop network control system mode is introduced in this paper. This mode is used for most loop network control system with radiation branches. It has some advantages of least times in switching motion, minimum shock on the line, rapid isolation from failure segment, and automatic recovery of power supply for the failure segment and so on. It has analyzed the protection process of least beating even if one of controller is misplaying under "full" short-circuit in three phases. This paper presents a set of reference parameters for power supply mode in the loop network with least beating and described the failure isolating process in voltage-type protection mode and current-type protection mode as well as pointed out its advantages and disadvantages.
  • Keywords
    electric current control; intelligent control; power distribution control; power distribution faults; power distribution lines; power distribution protection; voltage control; 10 kV; automatic recovery; complex-type controller; current-type protection mode; distribution line-protected mode; failure segment; least beating; loop network control system; loop network intelligent control system; power supply mode; power supply network; reference parameters; voltage-type protection mode; Automatic control; Control systems; Delay; Intelligent control; Management information systems; Power supplies; Power system protection; Power system reliability; SCADA systems; Voltage control; “full” short-circuit; Least beating; complex-type controller; loop network intelligent control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
  • Conference_Location
    Guangzhou, China
  • Print_ISBN
    0-7803-9091-1
  • Type

    conf

  • DOI
    10.1109/ICMLC.2005.1527170
  • Filename
    1527170