• DocumentCode
    1222680
  • Title

    Spinning reserve uncertainty in day-ahead competitive electricity markets for GENCOs

  • Author

    Yamin, Hatim Y.

  • Author_Institution
    Dept. of Power Eng., Yarmouk Univ., Irbid, Jordan
  • Volume
    20
  • Issue
    1
  • fYear
    2005
  • Firstpage
    521
  • Lastpage
    523
  • Abstract
    The estimated probability that spinning reserve is called and generated is considered crucial in the formulation of generation scheduling to simulate the spinning reserve uncertainty. Artificial Neural Network (ANN) is applied for forecasting the spinning reserve probability considering line limits, line and generator outages, market prices, bidding strategy, and load and spinning reserve patterns.
  • Keywords
    neural nets; power engineering computing; power generation economics; power generation scheduling; power markets; probability; GENCO; artificial neural network; bidding strategy; electricity market; generation scheduling; probability estimation; spinning reserve uncertainty; Artificial neural networks; Cost function; Economic forecasting; Electricity supply industry; Job shop scheduling; Load forecasting; Power generation; Power markets; Spinning; Uncertainty;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2004.841150
  • Filename
    1388555
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1222680