• DocumentCode
    2062237
  • Title

    Power system short-term load combined forecasting approach based on sectional simulation forecasting method

  • Author

    Jiarui Li ; Chengmin Wang ; Hongbo Lian ; Haobin Yu

  • Author_Institution
    Songjiang Power Supply Co., SMEPC, Shanghai, China
  • fYear
    2012
  • fDate
    10-14 Sept. 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Power system short term load forecasting is very sensitive to the disturbance factors in the day load, which could not obtain the desired optimal results. In order to solve such problems, this paper proposes sectional simulation forecasting method. This paper takes a certain area as an example and demonstrates sectional simulation forecasting method by analyzing the characteristics from daily load of this area, and compare sectional simulation forecasting method with conventional method for short term load forecasting effect. It´s easy to see, sectional simulation forecasting method, by contrast, is obviously superior to the conventional method of short-term load forecasting, and meets the power system load forecasting personnel´s demands much better.
  • Keywords
    fault diagnosis; load forecasting; day load; disturbance factors; power system short-term load combined forecasting approach; sectional simulation forecasting method; characteristic curve; daily load; load forecasting; section;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electricity Distribution (CICED), 2012 China International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2161-7481
  • Print_ISBN
    978-1-4673-6065-4
  • Electronic_ISBN
    2161-7481
  • Type

    conf

  • DOI
    10.1109/CICED.2012.6508652
  • Filename
    6508652