• DocumentCode
    2063508
  • Title

    Adapting AGC to manage high renewable resource penetrations

  • Author

    Masiello, R.D. ; Katzenstein, W.P.

  • fYear
    2012
  • fDate
    22-26 July 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    High penetration of renewable resources threatens to increase requirements for power system regulation services even as conventional and controllable resources are displaced. Recent FERC orders for “MW Mile” or “Pay for Performance” may increase the costs for those services. Automatic Generation Control processes and algorithms need to adapt to these changes so as to effectively provide adequate system performance at best cost.
  • Keywords
    power generation control; power system management; renewable energy sources; AGC; FERC order; automatic generation control; high renewable resource penetrations management; power system regulation services; Algorithm design and analysis; Automatic generation control; Heuristic algorithms; Production; Real-time systems; System performance; Wind forecasting; Automatic Generation Control; Renewable Integration;
  • 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.2012.6345486
  • Filename
    6345486