• DocumentCode
    1454673
  • Title

    Reliability and reserve in competitive electricity market scheduling

  • Author

    Flynn, Meadhbh ; Sheridan, W. Paul ; Dillon, Joseph D. ; O´Malley, Mark J.

  • Author_Institution
    ESB Nat. Grid, Dublin, Ireland
  • Volume
    16
  • Issue
    1
  • fYear
    2001
  • fDate
    2/1/2001 12:00:00 AM
  • Firstpage
    78
  • Lastpage
    87
  • Abstract
    Power systems are typically scheduled at least cost subject to operational and security constraints. Generally, no account is taken of generator reliability when scheduling units. Also, the security criteria, which include reserve, are usually deterministic in nature. This paper proposes a method to consider generator reliability explicitly in the scheduling problem. A competitive structure is proposed which includes a market for reserve. This is formulated as an augmented Lagrangian dual function and is solved using a new recurrent neural network. The price for reserve is used, along with the unit reliability, to find a balance between the cost of reserve and the risk of not providing it
  • Keywords
    electricity supply industry; power generation economics; power generation reliability; power generation scheduling; power system analysis computing; recurrent neural nets; ancillary services; augmented Lagrangian; augmented Lagrangian dual function; competitive electricity market scheduling; generating unit reliability; power generation scheduling; recurrent neural network; reserve; security criteria; Costs; Electricity supply industry; Lagrangian functions; Maintenance; Power generation; Power generation economics; Power system economics; Power system reliability; Power system security; Recurrent neural networks;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.910784
  • Filename
    910784