• Title of article

    A review on reliability assessment for wind power

  • Author/Authors

    Wen، نويسنده , , Jiang and Zheng، نويسنده , , Yan and Donghan، نويسنده , , Feng، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2009
  • Pages
    10
  • From page
    2485
  • To page
    2494
  • Abstract
    The application of wind energy in electric power systems is growing rapidly due to enhanced public concerns to adverse environmental impacts and escalation in energy costs associated with the use of conventional energy sources. Electric power from wind energy is quite different from that of conventional resources. The fundamental difference is that the wind power is intermittent and uncertain. Therefore, it affects the reliability of power system in a different manner from that of the conventional generators. This paper, from available literatures, presents the model of wind farms and the methods of wind speed parameters assessment. Two main categories of methods for evaluating the wind power reliability contribution, i.e., the analytical method and the Monte Carlo simulation method have been reviewed. This paper also summarizes factors affecting the reliability of wind power system, such as wake effect, correlation of output power for different windturbines, effect of windturbine parameters, penetration and environment. An example has been used to illustrate how these factors affect the reliability of wind power system. Finally, mainstream reliability indices for evaluating reliability are introduced. Among these reliability indices, some are recently developed, such as wind generation interrupted energy benefit (WGIEB), wind generation interruption cost benefit (WGICB), Equivalent Capacity Rate (ECR), load carrying capacity benefit ratio (LCCBR).
  • Keywords
    Wind farms model , wind Power , Reliability , Evaluation , reliability indices
  • Journal title
    Renewable and Sustainable Energy Reviews
  • Serial Year
    2009
  • Journal title
    Renewable and Sustainable Energy Reviews
  • Record number

    1498874