Estimation of Fault Location and Fault Resistance for Single Line-to-ground Faults in Multi-ring Distribution Network Using Artificial Neural Network

Al-Shaher, Meshal; Saleh, A.; Sabry, Manar M.

doi:10.1080/15325000902762158

Cited by 12 publications

(6 citation statements)

References 8 publications

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“…The high voltage in transmission (approximately 11 000 V and usually in threephase transmission) is ideal for carrying electricity efficiently over long distances (Koen and Gaunt, 2003). Before use, the high voltage in distribution is transformed down to lower and safer voltage levels in substations, which makes the electricity suitable for consumption by commercial and household users (Al-Shaher et al, 2009). According to Aivalioti (2015), the bulk of the transmission networks consist of overhead lines rather than underground cables, because of the ease of installation, maintenance and cost-effectiveness.…”

Section: Impacts Of Climate Variability and Change On Electricity Supplymentioning

confidence: 99%

The vulnerability of the South African electricity transmission network infrastructure to weather and climate: A review

Majodina

Botai

Rautenbach

2018

J. energy South. Afr.

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Meteorological factors have an influence on global energy systems. This study reviewed some of the latest research contributions from other global studies on climate change impacts, energy transportation and international collaboration in the energymeteorology sector. It is a summary of relevant South African research on energy demand, forecasting and vulnerability to extreme meteorological conditions. International weather-energy partnerships are growing fast, while the Global Framework for Climate Services has provided a global framework for scientific collaboration across sectors to assist with climate-related risk management and decision-making. The uptake of weather-energy partnerships in developing regions has remained slow, however, particularly in Africa, where basic requirements such as meteorological observations are still sought. This review found that studies on the impact that future projections of climate change and variability might have on the South African electricity transmission network were inadequate. A deeper understanding of such impacts on the electricity infrastructure would assist considerably with risk management and decision-making; consequently contributing to the sustainable provision of electricity in South Africa.

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Section: Impacts Of Climate Variability and Change On Electricity Supplymentioning

confidence: 99%

The vulnerability of the South African electricity transmission network infrastructure to weather and climate: A review

Majodina

Botai

Rautenbach

2018

J. energy South. Afr.

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“…In the early 1970s, several algorithms and techniques were developed for the detection of this kind of faults, including the staged fault test [2], low-frequency spectrum [3], Kalman filtering [4], neural networks [5], neuro fuzzy technique [6], harmonic analysis [7], and wavelet transform [8][9][10]. In addition, such techniques as numerical algorithms [11,12], wavelets [13], neural networks [14,15], and, recently, time-domain studies [16] have been proposed for HIF localization. However, a complete solution to the problem of HIF detection and localization can only be obtained by a deep understanding of the interaction phenomenon between the HIF and the power transmission line.…”

Section: Torres Et Almentioning

confidence: 99%

Distributed Parameters Model for High-impedance Fault Detection and Localization in Transmission Lines

Torres

Maximov

Ruiz

et al. 2013

Electric Power Components and Systems

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A high-impedance fault is generated when an overhead power line physically breaks and falls to the ground. Such faults are difficult to detect and locate in electric power systems because of the small currents and voltage drops involved, which cannot be detected by conventional protection. Furthermore, arcing accompanies highimpedance faults, resulting in fire hazard, damage to electrical equipment, and risk to human life. This article presents an analytical description of the interaction between the electric arc associated with high-impedance faults and a transmission line. A joint analytical solution to the wave equation for a transmission line and a non-linear equation of the arc model is found for the case of an arbitrary reflection coefficient at the substation end, and a methodology for high-impedance fault detection and localization is proposed. The developed model is validated by means of a comparison with measurements. The comparison demonstrates the accuracy and effectiveness of the proposed model.

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“…ANN, Fuzzy logic and hybrid techniques using combined wavelet, SVM, ANN and/or fuzzy logic has been applied for protection of transmission lines by Reddy and Mohanta [19], Al-Shaher et al [3], Abdollahi et al [1], Gayatri and Kumarappan [10], Kalam et al [16], Yusuff et al [25], Dasgupta et al [6], Saravanan et al [21], Ekici [8] and Wang et al [24]. But these techniques are non-directional.…”

Section: Introductionmentioning

confidence: 98%

A single ended directional fault section identifier and fault locator for double circuit transmission lines using combined wavelet and ANN approach

Yadav

Swetapadma

2015

International Journal of Electrical Power & Energy Systems

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Estimation of Fault Location and Fault Resistance for Single Line-to-ground Faults in Multi-ring Distribution Network Using Artificial Neural Network

Cited by 12 publications

References 8 publications

The vulnerability of the South African electricity transmission network infrastructure to weather and climate: A review

The vulnerability of the South African electricity transmission network infrastructure to weather and climate: A review

Distributed Parameters Model for High-impedance Fault Detection and Localization in Transmission Lines

A single ended directional fault section identifier and fault locator for double circuit transmission lines using combined wavelet and ANN approach

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