• DocumentCode
    2064749
  • Title

    Scalable high performance information and communications technology for smart distribution network operation

  • Author

    Taylor, G.A. ; Axon, C.J. ; Irving, M.R.

  • Author_Institution
    Brunel Inst. of Power Syst., Brunel Univ., Uxbridge, UK
  • fYear
    2012
  • fDate
    22-26 July 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Scalable and secure information and communications technology will be essential to enable the interoperability of future electricity distribution networks. This will be mainly driven by the need to process, analyse and share increasing volumes of data produced by sensors monitoring the condition of network assets, smart meters from residential and commercial customers, distributed generation, and responsive loads. Complexity is further introduced as these diverse data-streams will be gathered at different rates and analysed for different purposes such as near-to-real-time system state estimation and on-line condition monitoring of network assets. However, the nature of active networks dictates that all relevant information will need to be exploited by interoperable applications across an enterprise or business as a whole. This paper presents novel Information and Communications Technology (ICT) and high performance computing tools and techniques to enable near-to-real-time state estimation across large-scale distribution networks whilst concurrently supporting on the same computational infrastructure for the condition monitoring of network assets and advanced network restoration solutions. These platforms are promoting and supporting the emergence of new distribution network management systems, with inherent security and intelligent communications, for smart distribution network operation and management. We propose cost-effective scalable ICT solutions and initial investigation of realistic distribution network data traffic and management scenarios involving state estimation. Furthermore, we review the prospects for off-line trials of our proposed solutions in three different countries.
  • Keywords
    asset management; condition monitoring; distribution networks; information technology; power engineering computing; power system management; power system measurement; security of data; advanced network restoration; condition monitoring; distribution network management systems; high performance computing tools; information and communications technology; large scale distribution networks; near-to-real-time state estimation; network asset; scalable high performance information; secure information; smart distribution network operation; Asset management; Condition monitoring; Decision support systems; Engines; Monitoring; Reliability; State estimation; Distribution management systems; Highperformance computing; Intelligent condition monitoring; Network operation; Smart Grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2012 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4673-2727-5
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESGM.2012.6345531
  • Filename
    6345531