• DocumentCode
    2683298
  • Title

    Distributed monitoring and control of future power systems via grid computing

  • Author

    Taylor, G.A. ; Irving, M.R. ; Hobson, P.R. ; Huang, C. ; Kyberd, P. ; Taylor, R.J.

  • Author_Institution
    Brunel Inst. of Power Syst., Brunel Univ., Uxbridge
  • fYear
    0
  • fDate
    0-0 0
  • Abstract
    It is now widely accepted within the electrical power supply industry that future power systems operates with significantly larger numbers of small-scale highly dispersed generation units that use renewable energy sources and also reduce carbon dioxide emissions. In order to operate such future power systems securely and efficiently it will be necessary to monitor and control output levels and scheduling when connecting such generation to a power system especially when it is typically embedded at the distribution level. Traditional monitoring and control technology that is currently employed at the transmission level is highly centralized and not scalable to include such significant increases in distributed and embedded generation. However, this paper proposes and demonstrates the adoption of a relatively new technology ´grid computing´ that can provide both a scalable and universally adoptable solution to the problems associated with the distributed monitoring and control of future power systems
  • Keywords
    air pollution control; computerised monitoring; control engineering computing; distributed power generation; grid computing; power engineering computing; power generation scheduling; power system control; carbon dioxide emission reduction; dispersed generation units; distributed generation; distributed monitoring; distribution level; electrical power supply industry; embedded generation; grid computing; power systems control; renewable energy sources; Control systems; Distributed control; Distributed power generation; Electricity supply industry; Grid computing; Monitoring; Power generation; Power system control; Power systems; Renewable energy resources; Distributed Energy Resources; Distributed Monitoring and Control; Grid Computing; Renewable Energy Sources;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society General Meeting, 2006. IEEE
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    1-4244-0493-2
  • Type

    conf

  • DOI
    10.1109/PES.2006.1709538
  • Filename
    1709538