Grid-connected inverter island detection method based on wavelet transform and neural network
A neural network and wavelet transform technology, which is applied in the direction of instruments, measuring electricity, measuring devices, etc., can solve the problems of large detection blind area, long detection time, affecting the power supply quality of distributed power generation system, etc., and achieve small blind area and short time for island detection. , the effect of reducing the error rate
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[0031] see figure 1 In this embodiment, the method for islanding detection of grid-connected inverters based on wavelet transform and neural network is carried out according to the following process:
[0032] Step 1. Collect the voltage value and the inverter output current value at the common coupling point of the distributed grid-connected power generation system in the islanded state and the non-islanded state;
[0033] Step 2. Process the collected voltage value and inverter output current value according to the following methods 1 or 2:
[0034] Method 1. For a single-phase distributed generation system, the voltage value and the inverter output current value are respectively subjected to two-scale wavelet transformation, and the voltage value and the inverter output current value of the high-frequency components of the two scales are obtained respectively. Wavelet coefficients; for the wavelet coefficients of the high-frequency components of the two scales of the voltag...
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