• DocumentCode
    177065
  • Title

    Modelling and design of wind power forecast error estimation system

  • Author

    Guoqiang Yang ; Hanyi Chen ; Kaifeng Zhang ; Ying Wang ; Fan Xu

  • Author_Institution
    Key Lab. of Meas. & Control of CSE, Southeast Univ., Nanjing, China
  • fYear
    2014
  • fDate
    29-30 Sept. 2014
  • Firstpage
    1320
  • Lastpage
    1323
  • Abstract
    The error estimation of wind power forecast is of great importance to the dispatch and control, security and defense, etc. of power systems. In this paper, a system used to estimate the wind power forecast error is designed from the viewpoint of decoupling principle. Firstly, the paper refines the decoupling process of estimating wind power forecast error based on numerical feature extraction. Secondly, the database was divided into historical database and real-time database based on the times of reading and writing and how much of the data we use. Then, Man-Machine Interface, System Query, Data Management and Transfer are developed combined with the database. Finally, the paper develops the system that can estimate the wind power forecast error using Qt Creator based on the smart grid scheduling technology support system “D5000”. The designed system has been applied in a provincial power grid in northwestern China. All the demonstrated results indicate the feasibility and practicality of the designed system.
  • Keywords
    database machines; estimation theory; feature extraction; load forecasting; man-machine systems; numerical analysis; power generation scheduling; power system management; power system simulation; smart power grids; wind power plants; D5000 support system; Qt Creator; data management; data transfer; decoupling principle; historical database; man-machine interface; northwestern China; numerical feature extraction; power grid; power system control; power system dispatch; power system security; smart grid scheduling technology; system query; wind power forecast error estimation system; Data models; Databases; Error analysis; Predictive models; Real-time systems; Wind forecasting; Wind power generation; error estimation system; offline calculation; online calculation; wind power forecast error;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Research and Technology in Industry Applications (WARTIA), 2014 IEEE Workshop on
  • Conference_Location
    Ottawa, ON
  • Type

    conf

  • DOI
    10.1109/WARTIA.2014.6976526
  • Filename
    6976526