Power transmission line short circuit fault diagnosis method based on empirical wavelet transformation and local energy
A short-circuit fault and empirical wavelet technology, applied in the direction of measuring electricity, measuring electrical variables, measuring devices, etc., can solve the problems of time-frequency characteristic performance of short-circuit faults that affect EMD, the final component contains residual noise, and modal aliasing. , to achieve the effect of good application effect, good noise resistance and strong adaptability
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[0084] refer to Figure 1-Figure 11 , a kind of transmission line short-circuit fault diagnosis method based on empirical wavelet transform and local energy of the present invention is carried out data simulation verification analysis as follows:
[0085] 1) Simulation of short-circuit fault experimental data
[0086] The signal difference under different fault parameters was not reflected, and a perfect training sample was obtained. A 500kV double-ended power supply transmission line simulation model was built using the electromagnetic transient software PSCAD. The transmission line adopts the Bergeron model, and the data set parameters are as follows:
[0087] (1) The initial angle of the voltage fault is set to a random integer value between 0° and 90°;
[0088] (2) The fault transition resistance is set to a random integer value between 0 and 200Ω;
[0089] (3) The fault distance is set as a random integer value between 10 and 190km.
[0090] 2) Carry out empirical wave...
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