Fourth-order mixed mean cumulant and improved TLS-ESPRIT algorithm-based low-frequency oscillation mode identification method
A low-frequency oscillation and modal identification technology, applied in the direction of reducing/preventing power oscillation, reducing the flicker of AC network, and AC network circuit, etc. The effect of small calculation amount, accurate identification results and strong anti-noise ability
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[0050] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.
[0051] Such as figure 1 As shown, the present embodiment is for Y(t)=e -0.3t cos(2π×0.5t)+e -0.6t cos(2π×1.1t) test signal is analyzed, and the technical solution of the present invention is described in detail.
[0052] Such as figure 1 As shown, this embodiment provides a low-frequency oscillation mode identification method based on the fourth-order mixed average cumulant and improved TLS-ESPRIT, which specifically includes the following steps:
[0053]Step S1: Extract the low-frequency oscillation signal of the power system. The low-frequency oscillation signal of the power system can be expressed as follows:
[0054]
[0055] In the formula: 2P is twice the number of assumed signal modes; A m is the amplitude; σ m is the attenuation factor; f m is the frequency; θ m is the initial phase angle; v(t) is Gaussian white noise.
[0056] Step ...
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