• DocumentCode
    1710783
  • Title

    Opportunities for Software-Defined Networking in Smart Grid

  • Author

    Jianchao Zhang ; Boon-Chong Seet ; Tek-Tjing Lie ; Chuan Heng Foh

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Auckland Univ. of Technol., Auckland, New Zealand
  • fYear
    2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The large-scale, heterogeneous, and distributed nature of the Smart Grid poses many challenges to be overcome from communication networking to autonomous control and management. The underlying infrastructure of Smart Grid must be efficient and reliable in transmitting large amounts of real-time data, scalable and flexible in aggregating resources, and secured and convenient in providing management interfaces to upper layer application systems. Meanwhile, the recent rapidly developing technology of Software Defined Networking (SDN) is perceived to have tremendous potential for utilization by the underlying infrastructure. By abstracting control functionalities from underlying packet forwarding hardware to an external software controller, SDN offers a high degree of flexibility for implementing novel networking solutions to improve performances of distributed systems in large, complex network environments such as Smart Grid. In this paper, three potential use cases are presented to examine the opportunities for SDN technology in Smart Grid.
  • Keywords
    computer networks; power engineering computing; smart power grids; SDN technology; control functionalities; external software controller; packet forwarding hardware; smart grid; software-defined networking; use cases; Density estimation robust algorithm; Middleware; Real-time systems; Smart buildings; Smart grids; Distributed Energy Resource Aggregation; Smart Building Management; Smart Grid; Software Defined Networking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information, Communications and Signal Processing (ICICS) 2013 9th International Conference on
  • Conference_Location
    Tainan
  • Print_ISBN
    978-1-4799-0433-4
  • Type

    conf

  • DOI
    10.1109/ICICS.2013.6782793
  • Filename
    6782793