2016
DOI: 10.1080/15325008.2015.1117165
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Development of Adaptive Reclosing Scheme Using Wavelet Transform of Neutral Line Current in Distribution System

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Cited by 13 publications
(17 citation statements)
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“…The approximation can be resolved many times with detail and approximation. That is, at higher resolutions, the lower-frequency components are extracted [17,18]. In this study, to utilize the feature of the switching surge with high frequency, we utilize the coefficient of the detailed component of level 2 (d2).…”
Section: Fault Classification Using Wavelet Transformmentioning
confidence: 99%
See 1 more Smart Citation
“…The approximation can be resolved many times with detail and approximation. That is, at higher resolutions, the lower-frequency components are extracted [17,18]. In this study, to utilize the feature of the switching surge with high frequency, we utilize the coefficient of the detailed component of level 2 (d2).…”
Section: Fault Classification Using Wavelet Transformmentioning
confidence: 99%
“…Wavelet transforms (WTs) have been used in power system protection because they can be used in a wide range of frequency bands. In [17,18], WT was applied to develop the reclosing algorithm in a distribution system. In [19,20], WT was applied to fault detection and classification.…”
Section: Introductionmentioning
confidence: 99%
“…However, these methods cannot be applied to distribution systems for several reasons, such as the configuration and short length of the distribution system. Only a small number of studies has been performed for the reclosing in distribution systems [14]. In [14], the wavelet transform was performed after which the total harmonic distortion was calculated.…”
Section: Introductionmentioning
confidence: 99%
“…Only a small number of studies has been performed for the reclosing in distribution systems [14]. In [14], the wavelet transform was performed after which the total harmonic distortion was calculated. A disadvantage of [14] is the complicated calculation procedure.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation