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Pregled bibliografske jedinice broj: 624076

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


Sarajčev, Petar; Vasilj, Josip; Goić, Ranko
Monte Carlo analysis of wind farm surge arresters risk of failure due to lightning surges // Renewable energy, 57 (2013), 626-634 doi:10.1016/j.renene.2013.03.004 (međunarodna recenzija, članak, znanstveni)


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

Autori
Sarajčev, Petar ; Vasilj, Josip ; Goić, Ranko

Izvornik
Renewable energy (0960-1481) 57 (2013); 626-634

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
wind turbine; surge arrester; risk assessment; failure probability; weibull distribution; lightning surges

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split

Profili:

Avatar Url Josip Vasilj (autor)

Avatar Url Petar Sarajčev (autor)

Avatar Url Ranko Goić (autor)

Poveznice na cjeloviti tekst rada:

doi www.sciencedirect.com dx.doi.org

Citiraj ovu publikaciju:

Sarajčev, Petar; Vasilj, Josip; Goić, Ranko
Monte Carlo analysis of wind farm surge arresters risk of failure due to lightning surges // Renewable energy, 57 (2013), 626-634 doi:10.1016/j.renene.2013.03.004 (međunarodna recenzija, članak, znanstveni)
Sarajčev, P., Vasilj, J. & Goić, R. (2013) Monte Carlo analysis of wind farm surge arresters risk of failure due to lightning surges. Renewable energy, 57, 626-634 doi:10.1016/j.renene.2013.03.004.
@article{article, author = {Saraj\v{c}ev, Petar and Vasilj, Josip and Goi\'{c}, Ranko}, year = {2013}, pages = {626-634}, DOI = {10.1016/j.renene.2013.03.004}, keywords = {wind turbine, surge arrester, risk assessment, failure probability, weibull distribution, lightning surges}, journal = {Renewable energy}, doi = {10.1016/j.renene.2013.03.004}, volume = {57}, issn = {0960-1481}, title = {Monte Carlo analysis of wind farm surge arresters risk of failure due to lightning surges}, keyword = {wind turbine, surge arrester, risk assessment, failure probability, weibull distribution, lightning surges} }
@article{article, author = {Saraj\v{c}ev, Petar and Vasilj, Josip and Goi\'{c}, Ranko}, year = {2013}, pages = {626-634}, DOI = {10.1016/j.renene.2013.03.004}, keywords = {wind turbine, surge arrester, risk assessment, failure probability, weibull distribution, lightning surges}, journal = {Renewable energy}, doi = {10.1016/j.renene.2013.03.004}, volume = {57}, issn = {0960-1481}, title = {Monte Carlo analysis of wind farm surge arresters risk of failure due to lightning surges}, keyword = {wind turbine, surge arrester, risk assessment, failure probability, weibull distribution, lightning surges} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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