Monte Carlo method for estimating backflashover rates on high voltage transmission lines

Sarajčev, Petar

doi:10.1016/j.epsr.2014.10.010

Cited by 34 publications

(14 citation statements)

References 27 publications

(45 reference statements)

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“…Pada penelitian ini, perhitungan faktor perisaian dilakukan secara manual. hasil yang didapatkan berupa tingkat efektifitas perlindungan kawat tanah terhadap jaringan SUTM 20 kV dengan menghitung nilai faktor perisaian dan jumlah gangguan petir [2].…”

Section: Pendahuluanunclassified

Efektifitas Perlindungan Kawat Tanah Jaringan SUTM 20 kV Gardu Induk Boom Baru Palembang

Oktaviani

Hati

2019

protk

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Jaringan SUTM seringkali mengalami gangguan petir tak langsung berupa sambaran induksi. Hal ini disebabkan tingkat ketahanan impuls isolasi V50% dari isolator SUTM relative rendah. Untuk itu kawat ditempatkan pada jaringan untuk perlindungan. Efektifitas perlindungan kawat tanah dinyatakan sebagai faktor perisaian yang didefinisikan sebagai hasil bagi tegangan induksi dengan kawat tanah dan tegangan induksi tanpa kawat tanah.Tujuan penelitian ini adalah untuk mengetahui tingkat efektifitas kawat tanah dalam melindungi kawat saluran pada SUTM 20 kV di Gardu Induk Boom Baru. Dari hasil perhitungan dan analisa bahwa nilai faktor perisaian kawat tanah di Gardu Induk Boom Baru sudah cukup efektif, karena mampu mengurangi jumlah gangguan petir induksi sebesar 35,50 gangguan per 100 km per tahun Kata kunci : petir; sambaran induksi; sambaran langsung; kawat tanah

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Section: Pendahuluanunclassified

Efektifitas Perlindungan Kawat Tanah Jaringan SUTM 20 kV Gardu Induk Boom Baru Palembang

Oktaviani

Hati

2019

protk

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“…Heretofore presented methodology for estimating the BFOR on HV transmission lines will be demonstrated on the typical single-circuit 110 kV transmission line with vertical conductor configuration and steel-lattice towers. Tower geometry is typical for wind pressures between 750 − 1500 N/m 2 , with individual spans of 350 m, typical for 750 N/m 2 wind pressure and 65 N/m 2 of maximum allowed conductors tensile strength [10]. Tower geometry follows: h = 27 m, y = 24 m; span between tower consoles (arms) is 2 m; top console length a = 2.5m, middle console length is 3 m and bottom console length is 3.5 m. Maximum phase conductor sag equals 3 m while that of the shield wire equals 2 m. Phase conductor DC resistance is 0.114 (Ω/km) with 10.95 mm diameter, and that of the shield wire is 0.304 (Ω/km) with 8 mm diameter.…”

Section: Test Case Transmission Line and Sensitivity Analysismentioning

confidence: 99%

“…The backflashover probability, as a feature of the BFOR, is usually obtained from the repeated numerical simulations (i.e. Monte-Carlo method), e.g., [6][7][8][9][10][11] using the ElectroMagnetic Transients Program (EMTP), [12,13], or by other means (i.e. simplified analytical treatment).…”

Section: Introductionmentioning

confidence: 99%

Introducing novel risk-based indicator for determining transmission line tower's backflashover performance

Sarajčev

Jakus

Vasilj

2018

Electric Power Systems Research

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Transmission line (TL) backflashover (BF) performance has been traditionally ascertained using a single number, the so-called backflashover rate, which is measured in number of BF events per 100 km-years. This paper aims at presenting a novel indicator for assessing performance of high-voltage TL tower's ability for tolerating direct lightning strikes without provoking BF events. This indicator is also defined as a single number, which can be computed for any TL tower (by means of EMTP simulations) and measures, in a novel way, its tolerance against BF events. It is given in terms of the risk of the BF occurrence, which means it is statistical in nature and depends on the total sum of conditions governing the BF events. The BF risk, as an indicator, is obtained from the probability density function of the shield wire(s) incident lightning currents and the cumulative distribution function of the BF currents statistical distribution. Hence, it merges complete probabilities of obtaining lightning currents striking a tower with probabilities of those currents provoking a BF events on that tower. This novel risk-based indicator can be related to the price of that risk and the associated investment costs, enabling the cost-effective optimisation solutions to the problems of TL arrester applications and station insulation coordination design. This seems appropriate, considering the fact that the investment in surge arresters and related protective measures is commonly perceived as buying insurance.

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“…Previous researches show great concern on the back flashover phenomena since a great number of lightning strikes were recorded terminating on the tower and shield wire rather than the phase conductor. Extensive numerical simulations by means of Electromagnetic Transient Program (EMTP) have been carried out on back flashover phenomena affecting overhead transmission lines [7][8][9][10]. In the case of effectively shielded lines, the surge voltage caused by back flashover is also usually more severe than those caused by shielding failure and induced overvoltage.…”

Section: Lightning Overvoltagementioning

confidence: 99%

Lightning back flashover tripping patterns on a 275/132 kV quadruple circuit transmission line in Malaysia

Halim

Bakar

Illias

et al. 2016

IET Science, Measurement & Technology

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Monte Carlo method for estimating backflashover rates on high voltage transmission lines

Cited by 34 publications

References 27 publications

Efektifitas Perlindungan Kawat Tanah Jaringan SUTM 20 kV Gardu Induk Boom Baru Palembang

Efektifitas Perlindungan Kawat Tanah Jaringan SUTM 20 kV Gardu Induk Boom Baru Palembang

Introducing novel risk-based indicator for determining transmission line tower's backflashover performance

Lightning back flashover tripping patterns on a 275/132 kV quadruple circuit transmission line in Malaysia

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