• DocumentCode
    3104126
  • Title

    Integrating wind energy in a Caribbean island: A case study of Anguilla

  • Author

    Bahadoorsingh, S. ; Ramdathsingh, R. ; Sharma, C.

  • Author_Institution
    Energy Syst. Group, Univ. of the West Indies, St. Augustine, Trinidad and Tobago
  • fYear
    2012
  • fDate
    7-10 May 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    This paper describes the analytical and modelling methods employed in a Wind Resource Assessment (WRA) and reliability assessment of a Wind Energy Conversion System (WECS) for small island networks. A case study of the Caribbean island of Anguilla has been conducted. A detailed wind regime revealed a mean wind speed of 7.9 ms-1 for extrapolated heights 55 m and higher. Both analytical and modelling techniques technically justified the WECS with an annual production in excess of 5 GWh using appropriate turbines to satisfy the monthly energy generation profiles for Anguilla. The reliability assessment incorporated Monte Carlo Simulation (MCS) for outages of the generating units yielding the healthy, marginal and risk state probabilities. The system exhibited probabilities of health ≥ 0.999, while the LOLP ≤ 0.0005. The Falcon (1.25 MW) wind turbine yielded the best technical performance while the Unison U57 (0.75 MW) wind turbine was deemed suitable satisfying critical aesthetic requirements. An initial economic appraisal is also presented.
  • Keywords
    Monte Carlo methods; power generation reliability; probability; risk management; wind power plants; wind turbines; Anguilla case study; Caribbean island; Unison U57; WECS; WRA; critical aesthetic requirements; generating unit outages; incorporated MCS; incorporated Monte Carlo simulation; initial economic appraisal; monthly energy generation profiles; power 0.75 MW; power 1.25 MW; reliability assessment; risk state probabilities; wind energy conversion system; wind energy integration; wind resource assessment; wind turbine; Analytical models; Availability; Wind energy; Wind speed; Wind turbines; generation reliability; renewable energy; wind energy; wind power generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transmission and Distribution Conference and Exposition (T&D), 2012 IEEE PES
  • Conference_Location
    Orlando, FL
  • ISSN
    2160-8555
  • Print_ISBN
    978-1-4673-1934-8
  • Electronic_ISBN
    2160-8555
  • Type

    conf

  • DOI
    10.1109/TDC.2012.6281564
  • Filename
    6281564