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Simplified Analysis of the Electric Power Losses for On-Shore Wind Farms Considering Weibull Distribution Parameters

Author

Listed:
  • Antonio Colmenar-Santos

    (Industrial Engineering Higher Technical School, Spanish University for Distance Education, Juan del Rosal St., 12, Madrid 28040, Spain)

  • Severo Campíez-Romero

    (Industrial Engineering Higher Technical School, Spanish University for Distance Education, Juan del Rosal St., 12, Madrid 28040, Spain)

  • Lorenzo Alfredo Enríquez-Garcia

    (Escuela Superior Politécnica de Chimborazo, Riobamba-Chimborazo, EC060103, Ecuador)

  • Clara Pérez-Molina

    (Industrial Engineering Higher Technical School, Spanish University for Distance Education, Juan del Rosal St., 12, Madrid 28040, Spain)

Abstract

Electric power losses are constantly present during the service life of wind farms and must be considered in the calculation of the income arising from selling the produced electricity. It is typical to estimate the electrical losses in the design stage as those occurring when the wind farm operates at rated power, nevertheless, it is necessary to determine a method for checking if the actual losses meet the design requirements during the operation period. In this paper, we prove that the electric losses at rated power should not be considered as a reference level and a simple methodology will be developed to analyse and foresee the actual losses in a set period as a function of the wind resource in such period, defined according to the Weibull distribution, and the characteristics of the wind farm electrical infrastructure. This methodology facilitates a simple way, to determine in the design phase and to check during operation, the actual electricity losses.

Suggested Citation

  • Antonio Colmenar-Santos & Severo Campíez-Romero & Lorenzo Alfredo Enríquez-Garcia & Clara Pérez-Molina, 2014. "Simplified Analysis of the Electric Power Losses for On-Shore Wind Farms Considering Weibull Distribution Parameters," Energies, MDPI, vol. 7(11), pages 1-30, October.
    • Handle: RePEc:gam:jeners:v:7:y:2014:i:11:p:6856-6885:d:41724
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    References listed on IDEAS

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    Cited by:

    1. Ahmed Al Ameri & Aouchenni Ounissa & Cristian Nichita & Aouzellag Djamal, 2017. "Power Loss Analysis for Wind Power Grid Integration Based on Weibull Distribution," Energies, MDPI, vol. 10(4), pages 1-16, April.
    2. Watts, David & Durán, Pablo & Flores, Yarela, 2017. "How does El Niño Southern Oscillation impact the wind resource in Chile? A techno-economical assessment of the influence of El Niño and La Niña on the wind power," Renewable Energy, Elsevier, vol. 103(C), pages 128-142.
    3. Athanasios P. Vavatsikos & Efstratios Tsesmetzis & Georgios Koulinas & Dimitrios Koulouriotis, 2022. "A robust group decision making framework using fuzzy TOPSIS and Monte Carlo simulation for wind energy projects multicriteria evaluation," Operational Research, Springer, vol. 22(5), pages 6055-6073, November.

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