• DocumentCode
    629545
  • Title

    Transmission expansion planning considering maximizing penetration level of renewable sources

  • Author

    Ugranli, Faruk ; Karatepe, Engin

  • Author_Institution
    Dept. of Electr.-Electron. Eng., Ege Univ., Izmir, Turkey
  • fYear
    2013
  • fDate
    19-21 June 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Recently, integration of intermittent sources into the power systems has gained most interest in distributed generation environment. Among the others, wind based generation is the most promising renewable based technology. The volatility of these sources requires the careful planning of power systems. This paper proposed a novel genetic algorithm based method to determine the optimal trade-off between wind energy spilled and transmission line investment by deciding the location of new transmission lines. By this way, power system planners can avoid over investment of transmission lines while providing maximum usage of wind turbines. The proposed method is illustrated using the IEEE 24 bus reliability test system.
  • Keywords
    distributed power generation; genetic algorithms; power generation planning; power transmission lines; power transmission planning; wind power plants; wind turbines; IEEE 24 bus reliability test system; distributed power generation; genetic algorithm; power system planning; power transmission line investment; renewable source penetration level maximization; transmission expansion planning; wind based power generation; wind energy; wind turbine; Economics; Investment; Linear programming; Optimization; Planning; Power systems; Wind power generation; DC power flow; Genetic algorithm; Transmission adequacy; Transmission investment; Wind energy spilled; Wind power;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovations in Intelligent Systems and Applications (INISTA), 2013 IEEE International Symposium on
  • Conference_Location
    Albena
  • Print_ISBN
    978-1-4799-0659-8
  • Type

    conf

  • DOI
    10.1109/INISTA.2013.6577640
  • Filename
    6577640