• DocumentCode
    3227245
  • Title

    Mapping method of SCL and CIM model based on the semantic network of knowledge representation

  • Author

    Yu, Song ; Qian, Wang ; De Wen, Wang

  • Author_Institution
    Comput. Sci. & Tech. Inst., North China Electr. Power Univ., Baoding, China
  • fYear
    2011
  • fDate
    27-29 May 2011
  • Firstpage
    289
  • Lastpage
    292
  • Abstract
    The development of intelligent network urge automation of the transformer substations and control center. Information sharing and real-time communication is currently and urgently needed to research and solve the question. SCL is substation configuration language in IEC61850 standard, while CIM is the information model in IEC61970 standard which is used by control center. Their connection is very important for information sharing between substation and control center. Semantic network is a new concept and is a kind of knowledge representation method for artificial intelligence. It can show models internal connection and the connection between SCL and CIM. This paper uses semantic network to represent SCL, points out their similarities and differences, and puts forward mapping method for SCL and CIM. It will make the two models more convenient to share data and communication.
  • Keywords
    IEC standards; intelligent networks; semantic networks; substation automation; transformer substations; CIM model; IEC61850 standard; IEC61970 standard; SCL; artificial intelligence; common information model; control center; data sharing; information model; information sharing; intelligent network; knowledge representation method; mapping method; real-time communication; semantic network; substation configuration language; transformer substation; Computational modeling; Computer integrated manufacturing; 61850; 61970; CIM; SCL; semantic network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-61284-485-5
  • Type

    conf

  • DOI
    10.1109/ICCSN.2011.6014053
  • Filename
    6014053