2020
DOI: 10.1049/iet-gtd.2019.1167
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Power swing detection and blocking of the third zone of distance relays by the combined use of empirical‐mode decomposition and Hilbert transform

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Cited by 25 publications
(25 citation statements)
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References 38 publications
(60 reference statements)
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“…Reference [24] uses the variation rate of the root mean square (RMS) of the current to distinguish PS from the fault. This method has the ability to detect various types of faults along with PS, especially high impedance faults [3]. Among the shortcomings of this method are the high fault detection time and non-detection of asymmetric PS (PS occurs in one phase) [3].…”
Section: Difference Between Three-phase Signalsmentioning
confidence: 99%
See 1 more Smart Citation
“…Reference [24] uses the variation rate of the root mean square (RMS) of the current to distinguish PS from the fault. This method has the ability to detect various types of faults along with PS, especially high impedance faults [3]. Among the shortcomings of this method are the high fault detection time and non-detection of asymmetric PS (PS occurs in one phase) [3].…”
Section: Difference Between Three-phase Signalsmentioning
confidence: 99%
“…Among the various protection relays, distance relays are an integral part of protecting power systems. These relays have desirable features such as simplicity, use of local voltage and current for detecting a fault and its location [3]. The features of the distance relay make it suitable for protecting power transmission lines [4,5].…”
Section: Introductionmentioning
confidence: 99%
“…A method based on the prediction of signal samples using phaselet transform is proposed in [30], though it needs a longer time for detecting faults that occur during a power swing and determining the appropriate threshold value is also very challenging. A method based on empirical mode decomposition is proposed in [31], which has the outstanding feature of being capable to detect a multi-mode power swing. However, the main limitation on its application is the strong dependence on the correct determination of the number of intrinsic mode functions (IMFs), as the presented method can lead to erroneous IMFs in networks with different topologies.…”
Section: Introductionmentioning
confidence: 99%
“…There are also new methods to differentiate faults from power swings, which could be organised into four groups. Voltage analysis such as the rate of change of power swing centre voltage [5], bus voltage [6], and peaks of the derivative of a voltage signal [7], current waveform analysis [8][9][10][11][12][13], power analysis [14,15], and checking the impedance [16] are four variables used to distinguish faults from power swings. A combination of these approaches is employed in some techniques, as well [17][18][19][20][21].…”
Section: Introductionmentioning
confidence: 99%