A Discrimination Method for Low-Frequency Oscillation and Forced Oscillation of Power System Negative Damping Mechanism
A technology of low-frequency oscillation and forced oscillation, applied in the direction of measuring electricity, measuring electrical variables, measuring devices, etc., can solve problems such as misjudgment and uncertainty of disturbance sources, and achieve the effects of convenient suppression, high discrimination ability, and strong adaptability
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Embodiment 1
[0065] Figure 4 It is the waveform diagram of the active power signal output by the generator of Embodiment 1, and the specific steps of discrimination are as follows:
[0066] Step 1: Obtain the active power signal S1 of the generator from the synchronous measurement unit, the sampling time is 20s, and the sampling frequency is 50Hz;
[0067] Step 2: Filter the low-frequency oscillation signal S1 with a low-pass filter, set the cutoff frequency to 2.5 Hz, and filter out noise components higher than 2.5 Hz in the signal. Transfer Function of Low Pass Filter s is the Laplacian operator. The filtered signal is S2, and its waveform is as Figure 4 shown;
[0068] Step 3: Zeroize the signal S2 in step 2. First, the average value of the signal S2 is obtained as 0.85, and then subtract 0.85 from the original value of S2 to obtain the zeroed signal S3. Its waveform is as follows Figure 5 shown;
[0069] Step 4: Perform spectrum analysis on the signal S3 in the frequency rang...
Embodiment 2
[0075] Figure 8 It is the waveform diagram of the active power signal output by the generator of Embodiment 2, and the specific identification steps are as follows:
[0076] Step 1: Obtain the active power signal S1 of the generator from the synchronous measurement unit, the sampling time is 20s, and the sampling frequency is 50Hz;
[0077] Step 2: Filter the signal S1 in step 1 with a low-pass filter, set the cutoff frequency to 2.5 Hz, and filter out noise components higher than 2.5 Hz in the signal. Transfer Function of Low Pass Filter s is the Laplacian operator. The waveform of the filtered signal S2 is as follows Figure 9 shown;
[0078] Step 3: Zeroize the signal S2 in step 2, that is, subtract the mean value 0.85 of the signal S2 from the original value of S2 to obtain the zeroed signal S3, whose waveform is as follows Figure 9 shown;
[0079] Step 4: Perform spectrum analysis on the signal S3 in step 3 in the frequency range of 0.1-2.6 Hz using the fast Four...
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