• DocumentCode
    2535512
  • Title

    Analysis of a wind farm’s capacity value using a non-iterative method

  • Author

    Annunzio, Claudine D. ; Santoso, Surya

  • fYear
    2008
  • fDate
    20-24 July 2008
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    The effective load carrying capability (ELCC) is considered the preferred metric to evaluate the capacity value of a wind farm when performing generation expansion studies. Unfortunately, the classical implementation of the ELCC concept requires substantial reliability modeling and a computationally-intensive iterative process. The non-iterative method developed as part of our previous work addresses these issues. In this work, a detailed application of the non-iterative method is presented to compute the ELCC of a wind farm in two case studies. From these case studies, we establish that the non-iterative method can be applied successfully whether or not wind generation is a part of the existing generation portfolio. Foremost, we demonstrate that the non-iterative method can be utilized effectively to compute ELCC estimates for various evaluation periods such as a particular month or peak hours period. Results from both case studies and all evaluation periods show that the non-iterative method provides excellent ELCC estimates with an average relative error of only 2.2% for the first case study and 1.4% for the second. Furthermore, the ELCC estimates are compared to the capacity factor approximation which is often used to estimate a wind farmpsilas ELCC. In these case studies, the capacity factor approach is shown to offer inaccurate ELCC estimates with average relative errors of 20.2% for the first case study and 14.1% for the second.
  • Keywords
    approximation theory; power generation planning; wind power plants; capacity factor approximation; effective load carrying capability; generation expansion; non iterative method; power generation planning; wind farm; Capacity planning; Performance evaluation; Power generation; Power generation planning; Power system modeling; Power system reliability; Power systems; Wind energy generation; Wind farms; Wind power generation; Approximation methods; Capacity value; ELCC; Power generation planning; Reliability; Wind power generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE
  • Conference_Location
    Pittsburgh, PA
  • ISSN
    1932-5517
  • Print_ISBN
    978-1-4244-1905-0
  • Electronic_ISBN
    1932-5517
  • Type

    conf

  • DOI
    10.1109/PES.2008.4596317
  • Filename
    4596317