• DocumentCode
    647971
  • Title

    Four dimension wind speed model for adequacy assessment of power systems with wind farms

  • Author

    Peng Wang ; Xiaoqing Han ; Ying Qu ; Junhu Yang

  • Author_Institution
    Power Eng. Div., Nanyang Technol. Univ., Singapore, Singapore
  • fYear
    2013
  • fDate
    21-25 July 2013
  • Firstpage
    1
  • Lastpage
    1
  • Abstract
    Summary form only given: With high wind power penetration, power system operators require accurate wind power output from wind farms for system operation. A more accurate four dimension wind speed model is proposed in this paper to simulate the effects of terrain and time delay of wind speed. Two coordinate transformation matrixes are proposed to easily incorporate wind direction in wind speed simulation. The effects of random failures and wake of wind turbine generators on wind speed distribution in a wind farm are also considered in the proposed model. A sequential Monte Carlo simulation technique is developed to evaluate adequacy of power systems with wind farms using the proposed model. The modified IEEE RTS is analyzed to illustrate the models and technique. The simulation results show that those factors have significant impact on power output of a wind farm and system reliability.
  • Keywords
    IEEE standards; Monte Carlo methods; matrix algebra; power generation reliability; wind power plants; adequacy assessment; coordinate transformation matrixes; four dimension wind speed model; high wind power penetration; modified IEEE RTS; power system operators; power system reliability; sequential Monte Carlo simulation technique; time delay; wind direction; wind farms; wind speed distribution; wind turbine generators; Delay effects; Educational institutions; Power systems; Wind farms; Wind power generation; Wind speed; Wind turbines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting (PES), 2013 IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESMG.2013.6672524
  • Filename
    6672524