• DocumentCode
    1717038
  • Title

    Evaluating the impact of wind generation on the reliability of the electrical unified network of egypt

  • Author

    Beshr, Eman ; Hegazy, Yasser ; Galal, Yasser ; Badr, Mohmaed Abdelatif

  • Author_Institution
    Dept. of Electr. & Comput. Control Eng., Arab Acad. for Sci. & Technol., Cairo, Egypt
  • fYear
    2009
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    This paper presents a novel algorithm for the integration of wind generation with conventional power system for reliability studies. The algorithm is based on dividing the wind turbine generator (WTG) output power into corresponding four states. The mean time to fail (MTTF) and the mean time to repair (MTTR) are calculated for each state based on the generated power. A four-state model for WTG is then estimated using the calculated MTTF and MTTR for each state. The proposed model in this general form matches with the simulation techniques of conventional generating units for reliability analysis. The conventional generating units of the power system under the current investigation are simulated as a two state model using state duration sampling approach. A Mont Carlo simulation technique is adopted throughout the investigation for results verification. Recorded output results with conventional generating units are compared with integrated system composed of both conventional generation and wind energy included under the same load. The satisfactory agreement of results with the measured ones justifies the excellence of the proposed mathematical model.
  • Keywords
    Monte Carlo methods; power generation reliability; wind turbines; Egypt; Mont Carlo simulation technique; electrical unified network reliability; mean time-to-fail state; mean time-to-repair state; state duration sampling approach; wind turbine generator; Analytical models; Power generation; Power system analysis computing; Power system modeling; Power system reliability; Power system simulation; State estimation; Wind energy generation; Wind power generation; Wind turbines; Monte Carlo Simulation; Reliability; Wind Turbine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PowerTech, 2009 IEEE Bucharest
  • Conference_Location
    Bucharest
  • Print_ISBN
    978-1-4244-2234-0
  • Electronic_ISBN
    978-1-4244-2235-7
  • Type

    conf

  • DOI
    10.1109/PTC.2009.5281887
  • Filename
    5281887