• DocumentCode
    2581163
  • Title

    Model Design for Transmission Congestion Management Based on Fuzzy Programming

  • Author

    Zhao, Yu ; Zhao, Bo ; Qi, Chunjie

  • Author_Institution
    Coll. of Econ. & Manage., Huazhong Agric. Univ., Wuhan
  • fYear
    2009
  • fDate
    23-25 Jan. 2009
  • Firstpage
    355
  • Lastpage
    358
  • Abstract
    Based on data collected previously on the electricity market of the East China, we use stepwise regression method to find the approximate expression of the active power flow of each power sets on East Chinapsilas certain electrical network. Then classified discussion is carried out according to the difference of the capacity in and out of merit in order to obtain a simple and reasonable rule for calculating the block cost. Based on this, the objective programming model for output distribution of each unit is achieved. Exclude conditions step by step, and adjust the output allocation plan. Introduce flexible factors defining membership function to change fuzzy programming into non-fuzzy programming, and use genetic algorithm to get solution. The model considers both safety and cost so that different network operators can get their preferred allocation plan.
  • Keywords
    distribution networks; fuzzy set theory; genetic algorithms; load flow; power markets; power transmission; regression analysis; East China certain electrical network; active power flow; data collection; electricity market; fuzzy programming; genetic algorithm; objective programming model; stepwise regression method; transmission congestion management; Costs; Economic forecasting; Educational institutions; Electricity supply industry; Energy management; Functional programming; Knowledge management; Power generation; Power generation economics; Safety; electrical network; fuzzy programming; model design; multiobjective optimization; transmission congestion management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Discovery and Data Mining, 2009. WKDD 2009. Second International Workshop on
  • Conference_Location
    Moscow
  • Print_ISBN
    978-0-7695-3543-2
  • Type

    conf

  • DOI
    10.1109/WKDD.2009.8
  • Filename
    4771949