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Due to the wide dependency on electricity in our daily life, it is highly desired to have an uninterrupted and reliable supply of electricity for domestic, commercial, transportation, industrial and healthcare purposes. An arc fault occurring in switchgear causes long duration power interruption, damage to the equipment and hazard to personnel. Several arc protection systems have been introduced during...
In a Bayesian selectivity technique has been introduced to identify the faulty feeder in compensated medium voltage (MV) networks. The proposed technique has been based on a conditional probabilistic method applied on transient features extracted from the residual currents only using the Discrete Wavelet Transform (DWT). In this paper, the performance of this selectivity technique is evaluated when...
In this paper, a Bayesian selectivity technique is introduced to identify the faulty feeder in compensated medium voltage (MV) networks. The proposed technique is based on a conditional probabilistic method applied on features extracted from the residual currents only using the discrete wavelet transform (DWT). DWT enhances to localize initial transients generated in the network due to the fault event...
The faults due to leaning trees are common in Nordic Distribution networks. In [1], the detection of this fault type has been discussed and the faulty section has been estimated using a novel selectivity technique. This detection was based on an absolute sum of Discrete Wavelet Transform (DWT) detail coefficients of the residual voltages. The detection selectivity function depended on the transient...
Electrical faults due to leaning trees have been studied in [1]-[2] and it was found that the initial transients due to the associated arc reignitions are behavioral traits. These transients have been localized using the discrete wavelet transform (DWT). In this paper, these features are extracted from residual voltages using DWT. Therefore, the fault localization is carried out. The term for locating...
In this paper, the initial transients in the electrical network due to arc reignitions associated with high impedance faults caused by leaning trees are extracted from phase voltages and currents. The discrete wavelet transform (DWT) is used for the fault feature extraction corresponding to band frequency 12.5- 6.25 kHz and therefore localizing this fault occurrence. The detection security is enhanced...
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