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Adequacy evaluation of wind power generation systems

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  • Mabel, M. Carolin
  • Raj, R. Edwin
  • Fernandez, E.

Abstract

This paper attempts to assess the adequacy of wind power generation systems using the data collected from seven wind farms in Muppandal, Tamilnadu (India) with a total capacity of 37 MW. A Monte Carlo model simulation is incorporated in the algorithm to obtain the hourly power output of wind farms, which also takes into account the unavailability of wind turbines. A typical load demand profile is used to examine the chronological hourly wind power generation for each month. The reliability index of LOLE (loss of load expectation) is used to estimate the reliable contribution of wind farm power generation.

Suggested Citation

  • Mabel, M. Carolin & Raj, R. Edwin & Fernandez, E., 2010. "Adequacy evaluation of wind power generation systems," Energy, Elsevier, vol. 35(12), pages 5217-5222.
  • Handle: RePEc:eee:energy:v:35:y:2010:i:12:p:5217-5222
    DOI: 10.1016/j.energy.2010.07.044
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    8. Esmaieli, M. & Ahmadian, M., 2018. "The effect of research and development incentive on wind power investment, a system dynamics approach," Renewable Energy, Elsevier, vol. 126(C), pages 765-773.
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    12. Li, Yanfu & Zio, Enrico, 2012. "Uncertainty analysis of the adequacy assessment model of a distributed generation system," Renewable Energy, Elsevier, vol. 41(C), pages 235-244.
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    14. Yun, Eunjeong & Hur, Jin, 2021. "Probabilistic estimation model of power curve to enhance power output forecasting of wind generating resources," Energy, Elsevier, vol. 223(C).
    15. Allaei, Daryoush & Andreopoulos, Yiannis, 2014. "INVELOX: Description of a new concept in wind power and its performance evaluation," Energy, Elsevier, vol. 69(C), pages 336-344.
    16. Burgherr, Peter & Hirschberg, Stefan, 2014. "Comparative risk assessment of severe accidents in the energy sector," Energy Policy, Elsevier, vol. 74(S1), pages 45-56.
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