• DocumentCode
    676582
  • Title

    Research on the flexible performance of wind power forecast system in Southern China

  • Author

    Junjie Wei ; Ying Qiao ; Jinyong Lei ; Xuzhu Dong ; Man Xu

  • Author_Institution
    China Southern Power Grid, Guangzhou, China
  • fYear
    2013
  • fDate
    9-11 Sept. 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Wind farms located in SC (Southern China) are often with more complex terrains than in the north, such as onshore or hilly areas, which challenges the performance of wind power forecast system (WPFS) greatly. The flexibility issue is the task for WPFS to be adapted to the variable and complex onsite conditions and remain applicable for different objective wind farms over the whole area, which is crucial for adjustments of WPFS to keep the forecasting precision and satisfy the needs requested by the users. This paper presents the solution to flexibility of WPFS based on the analysis of typical wind resource and wind power characteristics over SC, and the actual arrangements and user requirements for WPFS as well. Then the framework of forecasting flexibility is proposed according to the three main technical links of WPFS: multiple data inputs, forecasting modelling and forecasting results´ forms, providing guidance for the building of WPFS and forecasting precision improvement in view of engineering. To illustrate the idea in detail, historical data of wind farms in SC is used as displaying samples for discussion.
  • Keywords
    forecasting theory; wind power plants; Southern China; WPFS; complex onsite conditions; forecasting modelling; forecasting precision improvement; forecasting results forms; multiple data inputs; typical wind resource characteristics; variable onsite conditions; wind farms; wind power characteristics; wind power forecast system; Southern China; Wind power forecast; flexibility;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Renewable Power Generation Conference (RPG 2013), 2nd IET
  • Conference_Location
    Beijing
  • Electronic_ISBN
    978-1-84919-758-8
  • Type

    conf

  • DOI
    10.1049/cp.2013.1793
  • Filename
    6718704