• DocumentCode
    3254120
  • Title

    A study on group communication in distributed wide-area measurement system networks in large power systems

  • Author

    Yufeng Xin ; Chakrabortty, Aranya

  • Author_Institution
    Renaissance Comput. Inst., Univ. of North Carolina, Chapel Hill, NC, USA
  • fYear
    2013
  • fDate
    3-5 Dec. 2013
  • Firstpage
    543
  • Lastpage
    546
  • Abstract
    Future wide-area measurement and control applications in large electric power systems will require a new decentralized architecture that scales up with the rapidly growing deployment of Phasor Measurement Units (PMUs). The emerging cloud computing paradigm that allows dynamic creation of virtual machines to form virtual data centers would help better support this new architecture through more efficient and flexible use of the networking and computing resources. However, this paradigm shift poses new technical challenges to the underneath communication and computing infrastructure leading to new problem formulations and solution approaches. Given that the primary communication pattern in the decentralized system will consist of various types of real-time group communication methods, in this paper we present a preliminary study on two problems, namely communication group formation and routing, that are fundamental to the envisioned new communication architecture.
  • Keywords
    cloud computing; multicast communication; phasor measurement; power engineering computing; virtual machines; PMU; cloud computing paradigm; decentralized system; distributed wide area measurement system network; group communication; large electric power system; phasor measurement unit; virtual data center; virtual machines; Computer architecture; Delays; IP networks; Multicast communication; Phasor measurement units; Receivers; Vegetation; Wide-area measurements; distributed algorithms; multicast communication; phasor data concentrator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Conference on Signal and Information Processing (GlobalSIP), 2013 IEEE
  • Conference_Location
    Austin, TX
  • Type

    conf

  • DOI
    10.1109/GlobalSIP.2013.6736935
  • Filename
    6736935