In order to verify the feasibility and overall accuracy of the DC microgrid fault detection and classification method, a simulation model of the wind-solar energy storage DC microgrid is established as shown in Fig. 6. Fault occurs randomly at line of L1-L8. Where, it is composed of a 1.5 MW double-fed wind turbine, a. .
Figure 7 shows the TZMC and IMF1 waveforms of the four operating conditions based on the wind-solar energy storage DC microgrid line simulation model. It can be seen that for SIGF,. .
After detecting the abnormal conditions, continue to detect the ground faults signal. LS and the ground faults are distinguished by use Rratio. Table 4. .
In order to verify that the fault classification results are not affected by fault resistance, fault distance, and fault start time. Based on the random fault resistance, fault distance and fault initiation time, the current signals of 600. [pdf]
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