• DocumentCode
    665261
  • Title

    Machine-to-machine communication infrastructure for smart wind power farms

  • Author

    Ahmed, Moataz A. ; Young-Chon Kim

  • Author_Institution
    Dept. of Comput. Eng., Chonbuk Nat. Univ., Jeonju, South Korea
  • fYear
    2013
  • fDate
    14-14 Nov. 2013
  • Firstpage
    137
  • Lastpage
    142
  • Abstract
    The development of wind power industry enables the new generation of wind turbines (WTs) with longer blades, taller towers, higher efficiency and lower maintenance cost by the maturity of the related technologies. With the advances in the communication technologies, smart wind power farms (S-WPFs) will be a reality in the near future. In this paper, we propose the machine-to-machine (M2M) communication infrastructure for the S-WPFs. The proposed architecture is designed to communicate directly among wind turbines. Therefore, each turbine can decide its operation in real time to maximize power generation, availability and lifetime. The network performance of proposed architectures is evaluated by analytical and simulation model.
  • Keywords
    blades; poles and towers; power engineering computing; wind power plants; wind turbines; M2M communication infrastructure; S-WPF; blade; machine-to-machine communication infrastructure; maintenance cost; smart wind power farm; tower; wind power industry; wind turbine; Communication networks; Delays; Relays; Wind power generation; Wind turbines; Wireless communication; Wireless sensor networks; EPON; IEC61400-25; M2M; Wireless; ZigBee; communication network; smart wind power farm; wind turbine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Energy Systems (IWIES), 2013 IEEE International Workshop on
  • Conference_Location
    Vienna
  • Type

    conf

  • DOI
    10.1109/IWIES.2013.6698575
  • Filename
    6698575