High-accuracy resonant grounding system single-phase earth fault line selection method
A single-phase grounding fault and resonant grounding technology, applied in fault location, fault detection according to conductor type, measurement device, etc., can solve the problem of affecting the accuracy of line selection, modal aliasing of EMD algorithm, small amplitude of high frequency components, etc. problem, to avoid modal aliasing, enhance amplitude, and ensure reliability.
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example 1
[0026] Set outgoing line L 1 A single-phase ground fault occurs at a distance of 3km from the busbar, the fault closing angle is 0°, and the transition resistance is 10Ω.
[0027] After the fault occurs, the line selection algorithm is started, and the zero-sequence current sampling data of the half cycle before the fault and the 3 cycles after the fault are read.
[0028] Firstly, Ensemble Empirical Mode Decomposition (EEMD) is performed on the zero-sequence current sampling data of each outgoing line, and the signal is decomposed into several Intrinsic Mode Function (IMF) components and residual components to facilitate further fault feature extraction.
[0029]
[0030] In the formula: S(t) is the original signal; n is the number of IMF components; C i (t) is the i-th layer IMF component, where C 0 (t) is the remaining component. The intrinsic mode functions of different layers represent the components of the signal at different time scales.
[0031] Afterwards, the ...
example 2
[0049] Set the bus fault, the fault closing angle is 30°, and the transition resistance is 50Ω.
[0050]After the fault occurs, the line selection algorithm is started, and the zero-sequence current sampling data of the half cycle before the fault and the 3 cycles after the fault are read.
[0051] Firstly, Ensemble Empirical Mode Decomposition (EEMD) is performed on the zero-sequence current sampling data of each outgoing line, and the signal is decomposed into several Intrinsic Mode Function (IMF) components and residual components to facilitate further fault feature extraction.
[0052]
[0053] In the formula: S(t) is the original signal; n is the number of IMF components; C i (t) is the i-th layer IMF component, where C 0 (t) is the remaining component. The intrinsic mode functions of different layers represent the components of the signal at different time scales.
[0054] Afterwards, the Hilbert transform is performed on the IMF components of each layer and the re...
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