• DocumentCode
    2597151
  • Title

    Research on architecture of intelligent power grid control centre

  • Author

    Ma, Taotao ; Zhu, Shaohua ; Zheng, Xiao ; Guo, Chuangxin ; Qian, Weizhong ; Yang, Jian

  • Author_Institution
    Coll. of Electr. Eng., Zhejiang Univ., Hangzhou, China
  • fYear
    2009
  • fDate
    6-7 April 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    As the power grid grows larger; the tradition way which relies on human´s judgment to control over power grid becomes useless especially when the grid is in emergency. This paper brings in a new architecture which makes the control center smarter. This architecture uses real time data from EMS and WAMS to describe the current state of power grid. Upon the current state, different intelligent engines will be triggered. The triggered intelligent engine will tell the operator which is happening, how it happened, and how to do with it. The intelligent engines will be produced by both online modern and off line machine learning. And they form a growing knowledge warehouse makes control centre clever. The control centre becomes smart is an important part of smart grid.
  • Keywords
    energy management systems; learning (artificial intelligence); power control; power grids; control center; energy management system; knowledge warehouse; machine learning; power grid control; real time data; smart grid; triggered intelligent engine; wide area measuring system; Educational institutions; Electrical engineering; Engines; Intelligent control; Learning systems; Machine learning; Observability; Power grids; Power system dynamics; Power system stability; Machine learning; architecture; human experience; power systems control centre;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4934-7
  • Type

    conf

  • DOI
    10.1109/SUPERGEN.2009.5347910
  • Filename
    5347910