• DocumentCode
    3313327
  • Title

    Application of power line communication with OFDM to smart grid system

  • Author

    Maneerung, A. ; Sittichivapak, Suvepon ; Hongesombut, Komsan

  • Author_Institution
    Telecommun. Eng. Dept., King Mongkut´s Inst. of Technol. Ladkrabang, Bangkok, Thailand
  • Volume
    4
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    2239
  • Lastpage
    2244
  • Abstract
    Recently, power distribution grid is moving toward a smart grid where energy generation is decentralized and the grid adapts to demands. Due to the most cost-effective way for two-way communication, the use of power line distribution grid for data communication of smart meters has gained higher interests by utility companies. This paper presents the smart grid system with power line communication (PLC). The system serves as the communication infrastructure linking smart meters through the PLC network. The characteristics of PLC multipath channel and the noise model are presented. The smart meters and PLC are modeled based on the actual distribution grid data to set the model for analyzing the feasibility and performance of a smart grid. Orthogonal Frequency Division Multiplexing (OFDM) modulation technique is used to improve better performance and higher efficiency. Simulation results on different loading conditions have confirmed the performance of OFDM when operating in a power line channel in smart grid system.
  • Keywords
    OFDM modulation; carrier transmission on power lines; power distribution; power meters; smart power grids; telecommunication channels; OFDM; PLC multipath channel; data communication; energy generation; orthogonal frequency division multiplexing; power distribution grid; power line communication; power line distribution grid; smart grid system; smart meters; Loading; Modulation; OFDM; Signal to noise ratio; Smart grids; Transfer functions; Multipath channel; Noise; OFDM; Power line communication; Smart grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-61284-180-9
  • Type

    conf

  • DOI
    10.1109/FSKD.2011.6020014
  • Filename
    6020014