• DocumentCode
    1896901
  • Title

    Generation adequacy assessment for power systems with wind turbine and energy storage

  • Author

    Zheng, Ruimin ; Zhong, Jin

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. of Hong Kong, Hong Kong, China
  • fYear
    2010
  • fDate
    19-21 Jan. 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Wind power has been considered as an environmental friendly electrical generation resource; however, the high wind power penetration can lead to high-risk levels in power system reliability. Energy storage system (ESS) is a promising means to smooth variations of wind power and improve the system reliability. Simulation models for assessing generation adequacies of power systems with wind power generation system (WPGS) and ESS are presented in this paper. The impacts of different wind power penetration levels on the reliability benefits from ESS are analyzed in the first case-study, when the WPGS is utilized to replace the conventional generators with same total rated power capacity. In the second case-study, the WPGS and ESS are installed to meet the annual growth of load demand and maintain the generation adequacy levels. The Monte Carlo simulation is used to simulate the operation of generating units and ESS, considering the force outage rates (FOR) of generators and random fluctuations of wind speeds.
  • Keywords
    Monte Carlo methods; energy storage; power generation reliability; wind power plants; wind turbines; Monte Carlo simulation; energy energy storage; generation adequacy assessment; high-risk levels; power system reliability; power systems; wind power generation system; wind power penetration; wind turbine; Electronic switching systems; Energy storage; Power generation; Power system modeling; Power system reliability; Power system simulation; Power systems; Wind energy; Wind energy generation; Wind turbines; Energy storage system; Generation adequacy assessment; Power system reliability; Wind power generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies (ISGT), 2010
  • Conference_Location
    Gaithersburg, MD
  • Print_ISBN
    978-1-4244-6264-3
  • Electronic_ISBN
    978-1-4244-6333-6
  • Type

    conf

  • DOI
    10.1109/ISGT.2010.5434749
  • Filename
    5434749