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Monte Carlo analysis of wind farm surge arresters risk of failure due to lightning surges

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  • Sarajcev, Petar
  • Vasilj, Josip
  • Goic, Ranko

Abstract

This paper presents a Monte Carlo procedure intended for the assessment of the metal-oxide (MO) surge arresters risk of failure in onshore wind farms. It focuses on the energy withstand (absorption) capability of the MO surge arresters in relation to lightning surges and in terms of their risk of failure assessment. Presented methodology accounts for the fact that the lightning itself is stochastic in nature and that the MO surge arrester energy capability is a statistical quantity. The well-known backsurge phenomenon is employed as a means for studying the MO surge arresters energy stresses due to lightning surge transients (in onshore wind farms), where the associated transient (i.e. high-frequency) models of particular wind farm components feature prominently. Necessary numerical simulations are carried-out with the well-known EMTP-ATP software package. This procedure could be seen as beneficial in selection of the optimal MO surge arrester energy withstand capability for wind farm projects situated in areas marked with high keraunic levels and/or having high soil resistivity.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:57:y:2013:i:c:p:626-634
    DOI: 10.1016/j.renene.2013.03.004
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    References listed on IDEAS

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    1. 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.
    2. Cavka, Damir & Poljak, Dragan & Doric, Vicko & Goic, Ranko, 2012. "Transient analysis of grounding systems for wind turbines," Renewable Energy, Elsevier, vol. 43(C), pages 284-291.
    3. 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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    Cited by:

    1. Jin, Xin & Zhang, Zhaolong & Shi, Xiaoqiang & Ju, Wenbin, 2014. "A review on wind power industry and corresponding insurance market in China: Current status and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 1069-1082.
    2. 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.
    3. Romane Bouchard & Djordje Romanic, 2023. "Monte Carlo modeling of tornado hazard to wind turbines in Germany," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(3), pages 3899-3923, April.
    4. 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.
    5. Zhou, Qibin & Liu, Canxiang & Bian, Xiaoyan & Lo, Kwok L. & Li, Dongdong, 2018. "Numerical analysis of lightning attachment to wind turbine blade," Renewable Energy, Elsevier, vol. 116(PA), pages 584-593.

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