Low-frequency oscillation identification method and suppression method of generator excitation system
A technology of excitation system and low frequency oscillation, which is applied in the direction of motor generator testing, measurement of electricity, and measurement of electrical variables, etc., can solve the problems of accuracy distortion, the processing speed of the embedded microcomputer system cannot meet the requirements, and the amount of calculation is extremely large. effect of time reduction
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Embodiment 1
[0085] Such as figure 1 As shown, the present invention discloses a method for identifying low-frequency oscillations of a generator excitation system, including:
[0086]Step 1. Sampling the actual active power value of the generator excitation system at a fixed time interval Δt, and obtaining the actual active power collected at N sampling times before the current sampling time when low-frequency oscillation identification of the generator excitation system is required. value, and recorded as y in chronological order 0 ,y 1 ,...,y N-1 , and with y n Represents the actual value of active power at the n+1th said sampling moment, where N is a preset value, and the value of N can be set according to the actual needs of the project. The larger the value of N, the more accurate the results obtained in this application, But it will also increase the amount of calculation; the Nth sampling moment is the current sampling moment;
[0087] Step 2, the actual active power value y o...
Embodiment 2
[0125] Such as figure 1 As shown, the present invention also discloses a method for suppressing low-frequency oscillation of the generator excitation system, including:
[0126] Step 12. Calculate the DC component ds and the attenuation factor d with the order m according to the low-frequency oscillation identification method of the generator excitation system described in the first embodiment i , phase θ i , Oscillation frequency f i , Oscillation amplitude A i , i=1, 2,..., m, and, accordingly, the following active power prediction equation is constructed:
[0127]
[0128] In the formula, Indicates the predicted value of active power at the n+1th sampling moment;
[0129] Step 13, calculate the predicted active power value according to the following formula and the actual value of active power y n The signal-to-noise ratio SNR, if satisfy SNR>40dB, then consider that described active power prediction equation is effective, otherwise, repeat described step 12;
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