• DocumentCode
    2577852
  • Title

    Laboratory of electric power supply-demand by intelligent engineering

  • Author

    Hu, Zhaoguang ; Xu, Minjie ; Shan, Baoguo ; Wen, Quan

  • Author_Institution
    State Power Economic Res. Inst., Beijing, China
  • fYear
    2009
  • fDate
    11-14 Oct. 2009
  • Firstpage
    3971
  • Lastpage
    3975
  • Abstract
    Electricity demand is depend closely with national economic growth since the all most economical activities have to use electricity. So, it is necessary to study economic growth for electricity demand and balancing electric power supply-demand There are many semi-structured and unstructured problems in studying electric power supply-demand, which are very difficult to be solved by the traditional methods. In this paper, a laboratory of power supply-demand based on intelligent engineering is developed to do the national policy study and simulate economic operating for analyzing electricity supply-demand. It is in the closed-up model as ¿forecast - early warning - intelligent simulation experiment - expert discussion - forecast¿. The main functions of the laboratory and their features are suitable for policymakers to see what will be happened on economic operation and electricity demand with some national policies on promoting economic growth and energy efficiency An experiment about policy simulation is given to show how to use the laboratory. It has been used in 31 area and provincial electric power grids under State Grid Co. of China. The applications have showed that it is a useful tool to do policy analysis, national economic-energy simulation, and energy efficiency for both power supply and demand.
  • Keywords
    government policies; load forecasting; power grids; power system economics; supply and demand; State Grid Co of China; electric power grids; electric power supply-demand; electricity demand forecasting; intelligent engineering; national economic growth; national economic-energy simulation; policy analysis; Analytical models; Economic forecasting; Energy efficiency; Laboratories; Power engineering and energy; Power generation economics; Power supplies; Power systems; Predictive models; Supply and demand; Economic simulation; Electricity demand; Generalized model; Intelligent engineering; Soft-science laboratory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
  • Conference_Location
    San Antonio, TX
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4244-2793-2
  • Electronic_ISBN
    1062-922X
  • Type

    conf

  • DOI
    10.1109/ICSMC.2009.5346672
  • Filename
    5346672