Fault branch identification method of three-terminal direct-current power-transmission-line discrete wavelet transformation and support vector machine
A DC transmission line, discrete wavelet transform technology, applied in the direction of measuring electrical variables, fault location, fault detection according to conductor type, etc., can solve problems such as the failure of traveling wave distance measurement, large communication interference, dead zone at the beginning and end of the line, etc.
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Embodiment 1
[0027] Embodiment 1: Three-terminal direct current transmission line such as figure 1 shown. Its line parameters are as follows: the length l of the three overhead DC lines 1 , l 2 and l 3 The order is 100km, 30km and 50km. Now assume that the MT branch is 45km away from the M terminal and a positive line fault occurs, and the transition resistance is 50Ω.
[0028] According to the first step, in the three-terminal DC transmission line, use the simulation data to form historical samples: set the fault location in the MT branch, the NT branch and the QT branch respectively, the step size is 1km, and the transition resistance is set to 0Ω and 10Ω respectively and 100Ω, the time window length is 1ms, and the fault current data is obtained; according to the second step, the db4 wavelet decomposition is performed on the traveling wave of the measured terminal current, and the wavelet transform coefficient under the second scale is selected as the input attribute of SVM1, and th...
Embodiment 2
[0029] Embodiment 2: Three-terminal direct current transmission line such as figure 1 shown. Its line parameters are as follows: the length l of the three overhead DC lines 1 , l 2 and l 3 The order is 100km, 30km and 50km. Now suppose that the NT branch is 126km away from the M terminal and a positive line fault occurs, and the transition resistance is 10Ω.
[0030] According to the first step, in the three-terminal DC transmission line, use the simulation data to form historical samples: set the fault location in the MT branch, the NT branch and the QT branch respectively, the step size is 1km, and the transition resistance is set to 0Ω and 10Ω respectively and 100Ω, the time window length is 1ms, and the fault current data is obtained; according to the second step, the db4 wavelet decomposition is performed on the traveling wave of the measured terminal current, and the wavelet transform coefficient under the second scale is selected as the input attribute of SVM1, and ...
Embodiment 3
[0031] Embodiment 3: Three-terminal direct current transmission line such as figure 1 shown. Its line parameters are as follows: the length l of the three overhead DC lines 1 , l 2 and l 3 The order is 100km, 30km and 50km. Assume now that the positive line fault occurs 134km away from the M terminal of the QT branch, and the transition resistance is 50Ω.
[0032]According to the first step, in the three-terminal DC transmission line, use the simulation data to form historical samples: set the fault location in the MT branch, the NT branch and the QT branch respectively, the step size is 1km, and the transition resistance is set to 0Ω and 10Ω respectively and 100Ω, the time window length is 1ms, and the fault current data is obtained; according to the second step, the db4 wavelet decomposition is performed on the traveling wave of the measured terminal current, and the wavelet transform coefficient under the second scale is selected as the input attribute of SVM1, and the ...
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