2021
DOI: 10.1016/j.epsr.2020.106846
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High impedance fault detection based on linear prediction

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Cited by 14 publications
(4 citation statements)
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References 17 publications
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“…Expression (2) shows the polynomial expansion coefficients L n (kT ) of a signal i(x); in fact, the coefficients L n (kT ) can be computed through a convolution between the filter functions D n (x) and the studied signal i(x). Notice that the process is followed by a subsampling process at multiple positions of T , and the filter functions D n (x) are defined by:…”
Section: High Impedance Faults Modelling and Analysis A Hermite Trans...mentioning
confidence: 99%
See 1 more Smart Citation
“…Expression (2) shows the polynomial expansion coefficients L n (kT ) of a signal i(x); in fact, the coefficients L n (kT ) can be computed through a convolution between the filter functions D n (x) and the studied signal i(x). Notice that the process is followed by a subsampling process at multiple positions of T , and the filter functions D n (x) are defined by:…”
Section: High Impedance Faults Modelling and Analysis A Hermite Trans...mentioning
confidence: 99%
“…One of the more important issues of distribution grids is the protection against short circuits that produce high current magnitudes resulting from "low impedance fault (LIFs)". However, in some cases, the fault may present small current magnitudes originated by "high impedance faults (HIFs)", which are characterized by a nonlinear behavior [1], [2]. Therefore, the correct discrimination between LIFs and HIFs has become an essential subject of interest because HIFs present complex transient behaviours that complicate their detection.…”
mentioning
confidence: 99%
“…Such approach requires a high calculation burden for lower tolerance rates and can be considered only effective at single-feeder distribution lines. Linear prediction was used by [65] to represent time series of signal samples over time. The model uses the energy raising of the linear prediction error to detect HIFs.…”
Section: Mathematical Approximationmentioning
confidence: 99%
“…Com uma taxa de acerto de 80% e utilizando sinais reais, os autores de Grimaldi et al (2021) utilizam um preditor linear, que é um método matemático que visa predizer o valor de uma nova amostra como sendo uma combinação linear de amostras passadas. Os autores afirmam que o método apresenta resultados melhores que os métodos que utilizam a TW.…”
Section: Métodos De Detecção De Falta De Alta Impedânciaunclassified