• DocumentCode
    2912790
  • Title

    Study on the Day-ahead Purchase Strategy Based on Grey wrapping load prediction

  • Author

    Wang, Xinxing ; Zhou, H.

  • fYear
    2007
  • fDate
    18-20 Nov. 2007
  • Firstpage
    657
  • Lastpage
    662
  • Abstract
    In the competitive absolutely electric power market, the day-ahead purchase strategy of the power trade center will influence trading profit and venture. Purchasers may decide reasonable purchase quantity and time according to the day-ahead purchase strategy. Firstly, this paper applies the grey wrapping prediction method to forecast the wrapping band of every node load due to uncertain load, and then presents a new mathematic model of the day-ahead purchase strategy based on grey wrapping load prediction according to grey linear programming theory. Finally IEEE 24-node power system example shows that the proposed algorithm is feasible and effective.
  • Keywords
    grey systems; linear programming; load forecasting; power markets; power system economics; purchasing; day-ahead purchase strategy; electric power market; grey wrapping load prediction; linear programming theory; power trade center; trading profit; Character generation; Demand forecasting; Economic forecasting; Load forecasting; Mathematical model; Power generation; Power system management; Power system modeling; Predictive models; Wrapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services, 2007. GSIS 2007. IEEE International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-1294-5
  • Electronic_ISBN
    978-1-4244-1294-5
  • Type

    conf

  • DOI
    10.1109/GSIS.2007.4443356
  • Filename
    4443356