• DocumentCode
    1774510
  • Title

    A dynamic topology discovery method for smart substation networks

  • Author

    Yi Yang ; Lei Gao ; Yuba Yuan ; Daonong Zhang ; Qiangsheng Bu ; McLaughlin, Keiran

  • Author_Institution
    State Grid Jiangsu Electr. Power Co. Res. Inst., Nanjing, China
  • fYear
    2014
  • fDate
    23-26 Sept. 2014
  • Firstpage
    1070
  • Lastpage
    1074
  • Abstract
    With interoperation and interconnectivity of intelligent electronic devices (IEDs) in smart substations increasing, switch networks in smart substations are gradually becoming difficult to manage and maintain. This paper presents a dynamic topology discovery method tailored for smart substation networks based on MAC address matching, which goes beyond topology discovery algorithms for conventional switch networks in IT areas. This approach can automatically discover network topologies of smart substations, using matching information from MAC access tables of switches, captured network messages, and substation configuration files (SCD). According to the proposed topology discovery approach, Linux-based software is designed and developed to display network topologies in real time and identify network failure tailored for smart substations. The proposed method and developed software are validated and verified by experiments in the test-bed.
  • Keywords
    Linux; access protocols; power engineering computing; substations; switching networks; telecommunication network topology; IEDs; IT areas; Linux-based software; MAC address matching; SCD; dynamic topology discovery method; intelligent electronic devices; matching information; media access control protocol; network failure; smart substation networks; substation configuration files; switch networks; Abstracts; IP networks; Network topology; Ports (Computers); Switches; Topology; Visualization; IED; Smart Substation; Switch network; Topology Discovery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electricity Distribution (CICED), 2014 China International Conference on
  • Conference_Location
    Shenzhen
  • Type

    conf

  • DOI
    10.1109/CICED.2014.6991869
  • Filename
    6991869