• DocumentCode
    1942639
  • Title

    A new Reliability Index for turbine selection

  • Author

    Cini, K. ; Jasmin, E.A.

  • Author_Institution
    Electr. & Electron. Eng., Gov. Eng. Coll., Thrissur, India
  • fYear
    2015
  • fDate
    24-26 June 2015
  • Firstpage
    404
  • Lastpage
    408
  • Abstract
    For the development of smart grid more and more distributed generation like wind, solar, fuel cell are introduced to the distribution networks in the power systems. Among them wind power generation is identified as the most advantageous and promising source for the future. Wind resource assessment and analysis is a crucial step in gauging the potential of many areas to produce electrical energy. After analyzing the potential, identifying a suitable turbine for a potential site is very significant in wind energy conversion system (WECS). Usually the turbine selection for a potential site is done on the basis of capacity factor, which is the ratio of the average power output to the rated power of the turbine. The intermittent nature of wind calls for its attention for reliability evaluation to integrate the same to the conventional system. The commonly defined reliability indices like Loss of Load Expectation (LOLE), Loss of Load Probability (LOLP), Expected Energy Not Supplied (EENS) give indication about the insufficiency of the power generation to meet the load, but it does not give indication about the consistency of operation. A new reliability index, Turbine Reliability Index (TRI) is proposed to evaluate the performance of turbines in the selected sites. The wind data of a potential site, Kayathar in Tamil Nadu in India was collected for the analysis. Along with the capacity factor, which is the basis of selection of a turbine, if we include the newly proposed index also for the selection of a turbine for a particular site, the performance of the wind energy conversion system can be improved.
  • Keywords
    direct energy conversion; distributed power generation; power distribution reliability; power generation reliability; smart power grids; wind power; wind power plants; wind turbines; capacity factor; distributed generation; distribution networks; power systems; smart grid; turbine reliability index evaluation; wind energy conversion system; wind power generation; wind resource assessment; wind turbine selection; Analytical models; Reliability engineering; Turbines; Wind speed; Capacity factor; Reliability Index; Turbine selection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advancements in Power and Energy (TAP Energy), 2015 International Conference on
  • Conference_Location
    Kollam
  • Type

    conf

  • DOI
    10.1109/TAPENERGY.2015.7229653
  • Filename
    7229653