• DocumentCode
    690788
  • Title

    Intelligent accident treatment and decision system based on Centralized Control Center for Power System

  • Author

    Wenxiong Mo ; Zhiwei Liao ; Yanmei Xiao ; Lingshu Zhong

  • Author_Institution
    Guangzhou Power Supply Bur., Guangzhou, China
  • fYear
    2013
  • fDate
    8-11 Dec. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The intelligent decision-making of Centralized Control Center of Substation (CCCOS) for accident treatment contributes to the self-healing and reliable supply of power system, for which deals with the operation and maintenance of the gird directly. In this background, a novel accident treatment and decision system based on CCCOS is proposed in this paper. At first, the differences in the accident treatment among substation, centralized control center and dispatching center are compared. The framework of the system are constructed, then the principle and method of main function model of the system, such as intelligent alarm processing, fault diagnosis model based on hybrid rule net and fault recovery decision-making are describes respectively. Finally, a practical fault scenario is served for demonstrating that effectiveness of the system.
  • Keywords
    centralised control; decision making; electrical accidents; fault diagnosis; intelligent control; load dispatching; maintenance engineering; power grids; power system control; power system faults; power system reliability; substations; CCCOS; centralized control center of substation; dispatching center; fault diagnosis model; fault recovery decision-making; hybrid rule net; intelligent accident treatment; intelligent alarm processing; intelligent decision-making system; maintenance; power grid; power supply system reliability; self-healing; Accidents; Artificial intelligence; Circuit faults; Dispatching; Fault diagnosis; Monitoring; Substations; Accident processing; Alarm processing; Centralized control center; Fault diagnosis; Recovery policy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2013 IEEE PES Asia-Pacific
  • Conference_Location
    Kowloon
  • Type

    conf

  • DOI
    10.1109/APPEEC.2013.6837293
  • Filename
    6837293