Distribution network fault location method utilizing natural frequency and artificial neural network
A technology of artificial neural network and fault location, which is applied in the direction of biological neural network model, fault location, etc., to achieve good robustness
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[0062] Specific simulation models such as figure 2 As shown, a fault point is taken every 50m on the line, namely Δ l =50m, fault resistance is 20Ω, fault closing angle θ=0°, 30°, 45°, 60°, 90°, simulation.
[0063] (1) After a single-phase grounding fault occurs in the distribution network, the starting element is started immediately, and the fault component of the fault zero sequence current can be obtained according to the three-phase current measured at the protection installation location for:
[0064] (1)
[0065] Where are the three-phase currents of the fault line A, B, C, k =1, 2, 3... N , N Is the length of the sampling sequence;
[0066] (2) Perform FFT transformation on the transient zero-sequence current of the faulty line, the sampling frequency is 1MHz, and the sampling length is 2048. After FFT transformation, a 2048×2 matrix is obtained:
[0067] (2)
[0068] Where To obtain the zero sequence transient current from the...
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