• DocumentCode
    128147
  • Title

    The radiated EMI noise modeling and features analysis on the basis of Smart Grid Equipments

  • Author

    Zhao Yang ; Liu Yong ; Li Shijin ; Yan Wei ; Qiu Xiaohui ; Chen Xueli ; Yan Jingrui

  • Author_Institution
    Sch. of Electr. & Autom. Eng., Nanjing Normal Univ., Nanjing, China
  • fYear
    2014
  • fDate
    1-4 Sept. 2014
  • Firstpage
    1199
  • Lastpage
    1202
  • Abstract
    For the radiated EMI technology of smart grid equipments, the modeling and features on the interference noise are analyzed in this paper. On the basis of radiated EMI mechanism analysis on the electronic equipments, considering of the special features of smart grid, the chip interference mode and structure interference model are established according to the characteristics of radiated electromagnetic interference mechanism. At last, the radiation problems of power concentrator are taken as experiment subjects, and the problems are diagnosed and suppressed by the interference model proposed in this paper. After efficient suppression methods, the equipment can pass the limit requirements of China standard GB9254 ClassB.
  • Keywords
    electromagnetic interference; interference suppression; smart power grids; China standard GB9254 ClassB; chip interference mode; electronic equipments; interference noise; power concentrator; radiated EMI mechanism analysis; radiated EMI technology; radiated electromagnetic interference mechanism; radiation problems; smart grid equipments; structure interference model; Electromagnetic compatibility; Electromagnetic interference; Frequency measurement; Integrated circuit modeling; Noise; Smart grids; interference mechanism; medical electronic equipment; noise model; radiated EMI; suppression methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electromagnetic Compatibility (EMC Europe), 2014 International Symposium on
  • Conference_Location
    Gothenburg
  • Type

    conf

  • DOI
    10.1109/EMCEurope.2014.6931086
  • Filename
    6931086