MMC-HVDC system single-ended fault identification method based on HHT energy entropy
A MMC-HVDC, fault identification technology, applied in the fault location, detecting faults according to conductor type, measuring electricity and other directions, can solve the problem of inability to realize single-pole grounding fault and disconnection fault detection, slow current longitudinal differential protection action, Sampling rate requirements are high, and the effect is conducive to system protection
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Embodiment 1
[0042] Example 1: The simulation model of a 320kV bipolar MMC-HVDC system grounded through the ground electrode lead wire is as follows figure 1 shown. The circuit parameters are as follows: the total length of the line is 400km, the capacity of the simulation system is 100MW, the bridge arms of the converter are connected in series with 76 sub-modules, and the sampling frequency is 6.4kHz. Fault location: The line is 200km away from the M terminal, and the transition resistance is 0Ω.
[0043] The specific implementation steps are as follows:
[0044] (1) Obtain the initial voltage signal and the IMF component obtained through EMD decomposition according to Step 1 in the manual. At this time, the correlation coefficient between the initial signal and IMF1 is the largest, so IMF1 is used as the sensitive IMF component for extracting fault characteristic information.
[0045] (2) According to Step2 and Step3 in the manual, the value of HHT energy entropy in each operating sta...
Embodiment 2
[0048] Example 2: The simulation model of a 320kV bipolar MMC-HVDC system grounded through the ground electrode lead wire is as follows figure 1 shown. The line parameters are as follows: the total length of the line is 400km, the capacity of the simulation system is 100MW, the bridge arms of the converter are connected in series with 76 sub-modules, and the sampling frequency is 6.4kHz. Fault location: The line is 100km away from the M terminal, and the transition resistance is 100Ω.
[0049] The specific implementation steps are as follows:
[0050] (1) Obtain the initial voltage signal and the IMF component obtained through EMD decomposition according to Step 1 in the manual. At this time, the correlation coefficient between the initial signal and IMF1 is the largest, so IMF1 is used as the sensitive IMF component for extracting fault feature information.
[0051] (2) According to Step2 and Step3 in the manual, the value of HHT energy entropy in each operating state can b...
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