Frequency domain method for double-end traveling wave fault location of power transmission line
A technology of transmission lines and double-ended traveling waves, which is applied to the fault location, detects faults according to the type of conductor, and measures electricity. The effect of improving positioning accuracy
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Embodiment 1
[0082] Assume that a two-phase ABG ground fault occurs on the line at 120km, the fault grounding resistance is 10Ω, the simulation time is set to 0.12 seconds, and the fault occurrence time is 0.04 seconds. The original data of the fault current measured at both ends of the line are as follows: Figure 4 shown.
[0083] according to figure 2 As shown, the method of the present invention extracts the original fault current data to obtain fault transient current data.
[0084] Through Karenbauer transformation, the fault current is divided into traveling wave line mode and ground mode components.
[0085] The wavelet packet multi-layer decomposition is performed on the linear model and the ground model components at both ends respectively, and the Morlet wavelet basis function is selected in the present invention.
[0086] Using the principle of maximum wavelet coefficient energy to calculate the energy coefficients at each scale, determine the frequency distribution of each ...
Embodiment 2
[0092] Assume that the ABCG three-phase ground fault occurs on the line at 40km, the grounding resistance is 10Ω, the simulation time is set to 0.12 seconds, and the fault occurrence time is 0.04 seconds. The original data of the fault current measured at both ends of the line are as follows: Figure 7 shown.
[0093] according to figure 2 The method shown extracts the original fault current data to obtain fault transient current data.
[0094] Through Karenbauer transformation, the fault current is divided into traveling wave line mode and ground mode components.
[0095] The wavelet packet multi-layer decomposition is performed on the linear model and the ground model components at both ends respectively, and the Morlet wavelet basis function is selected in the present invention.
[0096] Using the principle of maximum wavelet coefficient energy to calculate the energy coefficients at each scale, determine the frequency distribution of each frequency band as follows Fig...
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