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Monte–Carlo analysis of wind farm lightning-surge transients aided by LINET lightning-detection network data

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  • Sarajcev, P.
  • Vasilj, J.
  • Jakus, D.

Abstract

This paper presents a statistical method of analysis of wind farm lightning-surge transients, which employs a sophisticate wind farm high-frequency-transients model developed within the EMTP software package. The method features a Monte–Carlo simulation applied to the numerical analysis of wind farm lightning transients—which produces a statistical depiction of overvoltages distribution within the wind farm electrical network—that could be used in a statistical and semi-statistical methods of wind farm equipment insulation coordination, or it could assist in wind farm lightning risk management and surge protection optimisation. Wind farm lightning incidence is computed with the aid of the LINET lightning-detection network data, while at the same time accounting for the actual wind turbine geometry, exposure, and terrain topography (orography). Wind turbine effective height, in exposed locations, is determined from the physical postulates governing the initiation of lightning. Subsequently obtained wind farm equipment overvoltages are statistically described by means of the kernel density estimation procedure. The application of the proposed method on the actual onshore wind farm is provided in the paper as well.

Suggested Citation

  • Sarajcev, P. & Vasilj, J. & Jakus, D., 2016. "Monte–Carlo analysis of wind farm lightning-surge transients aided by LINET lightning-detection network data," Renewable Energy, Elsevier, vol. 99(C), pages 501-513.
    • Handle: RePEc:eee:renene:v:99:y:2016:i:c:p:501-513
    DOI: 10.1016/j.renene.2016.07.012
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    References listed on IDEAS

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    1. Sarajcev, Petar & Vujevic, Slavko & Lovric, Dino, 2014. "Interfacing harmonic electromagnetic models of grounding systems with the EMTP-ATP software package," Renewable Energy, Elsevier, vol. 68(C), pages 163-170.
    2. Rodrigues, R.B. & Mendes, V.M.F. & Catalão, J.P.S., 2011. "Protection of wind energy systems against the indirect effects of lightning," Renewable Energy, Elsevier, vol. 36(11), pages 2888-2896.
    3. Malcolm, Newman & Aggarwal, Raj, 2016. "The significance of median natural lightning current strokes on the energy handling capabilities of surge arresters employed in wind farms," Renewable Energy, Elsevier, vol. 85(C), pages 319-326.
    4. Rodrigues, R.B. & Mendes, V.M.F. & Catalão, J.P.S., 2012. "Protection of interconnected wind turbines against lightning effects: Overvoltages and electromagnetic transients study," Renewable Energy, Elsevier, vol. 46(C), pages 232-240.
    5. Sarajcev, Petar & Vasilj, Josip & Goic, Ranko, 2013. "Monte Carlo analysis of wind farm surge arresters risk of failure due to lightning surges," Renewable Energy, Elsevier, vol. 57(C), pages 626-634.
    6. Malcolm, Newman & Aggarwal, Raj K., 2015. "The impact of multiple lightning strokes on the energy absorbed by MOV surge arresters in wind farms during direct lightning strikes," Renewable Energy, Elsevier, vol. 83(C), pages 1305-1314.
    7. Petar Sarajčev & Ranko Goić, 2011. "A Review of Current Issues in State-of-Art of Wind Farm Overvoltage Protection," Energies, MDPI, vol. 4(4), pages 1-25, April.
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