Method for quickly identifying low-frequency oscillation modal characteristics of power system based on LSTM
A low-frequency oscillation and power system technology, applied in character and pattern recognition, pattern recognition in signals, biological neural network models, etc., can solve problems such as noise-sensitive false modes, difficult to guarantee identification results, and insufficient identification accuracy
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Embodiment 1
[0132] In order to verify whether the algorithm can identify new oscillation modes superimposed in the oscillation process of the system, the ideal LFO test signal is constructed as follows:
[0133]
[0134] In formula (17), ε(t) represents a step function, and η(t) represents a noise signal.
[0135] Such as Figure 4As shown, the length of the LFO signal is 12s, and the signal-to-noise ratio SNR=10dB. Before 6s, the signal contains two modes, where the frequency f 1 = 1.32Hz, f 2 =0.87Hz, attenuation factor σ 1 =0.06, σ 2 =-0.28. When t=6s, a new oscillation mode is introduced, its frequency f 3 =2.07Hz, attenuation factor σ 3 =0.03. After 6s, due to the σ in the initial mode 2 =-0.28 belongs to the strong attenuation component, at this time the mode is no longer counted as the dominant mode, so the signal still contains two modes, where the frequency f 1 = 1.32Hz, f 3 =2.07Hz, attenuation factor σ 1 =0.06, σ 2 = 0.03.
[0136] Step 7: Obtain the measured da...
Embodiment 2
[0142] In order to verify the actual identification effect of the present invention, a piece of LFO measured data is obtained from the power system. Such as Figure 5 As shown in , this section of LFO signal is excited by two small disturbances, located at 4s and 7s respectively. In order to identify the LFO modal characteristics excited after the two disturbances, the data after the disturbance is intercepted as the LFO signal to be tested in this embodiment.
[0143] Step 7: Obtain the measured data of the LFO signal through the sliding time window. The sliding window length is 5s, the sliding interval is 1s, and the sampling frequency is 100Hz. In order to verify the applicability of the present invention in the case of multiple disturbances in the system, it is necessary to use sliding window sampling after two disturbances occur. In this embodiment, two segments of signals are selected as identification objects, which are 4.2-9.2s and 7.05-12.05s respectively. Among t...
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