• DocumentCode
    3472421
  • Title

    A method of spatial load forecasting based on feeder

  • Author

    Bai, Xiao ; Gang, MU ; Ping, Li

  • Author_Institution
    North China Electr. Power Univ., Baoding
  • fYear
    2008
  • fDate
    6-9 April 2008
  • Firstpage
    1548
  • Lastpage
    1553
  • Abstract
    Spatial load forecast is a task to determine future location and magnitudes of electrical load. The paper presents a spatial load forecasting method based on feeder. The total service utility area is divided as many small areas based on the feeder service range. The historical data are manipulated to filter out singular data and remove load transfer coupling (LTC) . To avoid the side-effect of big load put into service, the consumer electric service application information has been considered. Then the spatial load of every feeder area can be forecasted by the proposed forecast method. This method is free from land usage data which are difficult to be obtained. The forecast result can meet the demand of electric utility within an acceptable error. The method is effective and reasonable by practice in distribute power system planning.
  • Keywords
    load forecasting; power distribution planning; consumer electric service application information; distribute power system planning; electric utility; electrical load; feeder service range; load transfer coupling; service utility area; spatial load forecasting; Adaptive algorithm; Arithmetic; Extrapolation; Filters; Geographic Information Systems; Load forecasting; Power distribution; Power industry; Power system planning; Power system protection; Geographic information systems ( GIS ); Load transfer coupling (LTC); Power distribution protection; Spatial load forecasting (SLF);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on
  • Conference_Location
    Nanjuing
  • Print_ISBN
    978-7-900714-13-8
  • Electronic_ISBN
    978-7-900714-13-8
  • Type

    conf

  • DOI
    10.1109/DRPT.2008.4523651
  • Filename
    4523651