2018
DOI: 10.1016/j.ijepes.2017.11.009
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Novel adaptive reclosing scheme using wavelet transform in distribution system with battery energy storage system

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Cited by 26 publications
(33 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%
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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%
“…Several types of mother wavelet (MW) exist, including Haar, Daubechies (db) N, Symlets N, Biorthogonal N, and Coiflets N. MWs can be classified according to their length and characteristics [17][18][19]. Furthermore, because the wavelets used in signal analysis can be obtained by scaling and shifting the MW, the selection of the MW is extremely important.…”
Section: Selection Of Mother Waveletmentioning
confidence: 99%
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“…A few protection studies have been performed in distribution system with a BESS. Reclosing methods considering a BESS used as an uninterruptible power supply were discussed in References [26][27][28]. However, these articles did not consider the existence of DG in the distribution system.…”
Section: Introductionmentioning
confidence: 99%