Research Article
Fault Line Selection Method Based on Transfer Learning Depthwise Separable Convolutional Neural Network
Table 2
Automated algorithm simulation process.
| Algorithm | Fault simulation automation based on MATLAB/Simulink |
| 1 | Call the Simpower System Toolbox to build a 10 kV power distribution system model | 2 | Configure fault parameters: different fault lines, phases, impedances, and locations | 3 | Start the simulation and apply a fault when running for 0.02 s | 4 | Stop the simulation after running for 0.2 s | 5 | Read 36 channel current simulation data (362560) and save it as a mat file | 6 | Repeat steps 2–5 to generate 6000 samples required for each faulty feeder | 7 | Repeat step 6 to get 6 types of fault sample data, for a total of 36000 samples |
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