Online analysis and early warning method for low-frequency oscillation of electric power system
A low-frequency oscillation and power system technology, applied to electrical components, circuit devices, AC network circuits, etc., can solve problems such as complex calculations, difficulty in distinguishing the law of carrier signal changes at symbol reversal points, and large processing errors, so as to avoid integral operations , fast response capability, robustness, and calculation accuracy satisfy the effect
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Embodiment 1
[0042] A low -frequency oscillating online analysis and early warning method of power system, which contains the following steps:
[0043] A. Collect relative skills from the phase angle measurement unit (PMU) of the high -voltage synchronization power grid wide -area measurement system, and use the time of relative skills and the time to collect the relative corner as a sample data, so as to use Collect dot data for sampling frequency, of which 8 Hz ≤ ≤15Hz;
[0044] B. In the order of the data of the data, take n duty data continuously, and the data of N duty points constitutes a WAMS data set, of which 150≤n ≤ 2000;
[0045] C. Perform the median filtering or K point of the WAMS data set. Among them, 3 ≤ k ≤ 9, the relative kinetic signal after filtering It
[0046]D. Use TeaGAR energy operator to process relative kine The
[0047] D1, Calculating Relators Signal Teagar energy operator:
[0048] (1)
[0049] (2)
[0050] (1), (2) j = 3,4, ..., n-3;
[0051] D2, calcula...
Embodiment 2
[0069] A low -frequency oscillation of electric power systems online analysis and warning method. The steps of this method are the same as the embodiment. Taking the relative skill signal of the No. 7 machine in the 8 machine system in PSASP as an example, in the step A,Pick = 15Hz, take n = 150 in step b, k = 7 in step C, and take H = 75 in step i, G7-G1 relative kinetic signal EMD decomposition results see the manual attached instructions attached to the manual attachment figure 2 The energy statistics of the G7-G1 relative skills and its EMD component are as shown in Table 1, Table 1, E0 is the energy of the original signal. E1, E2, E3, E4, and E:R's energy, in the content of the internal mode of C1 ~ C4, the IMF component C1 with the largest energy weight C1 is the dominant oscillation mode.
[0070] 8 The Q-R feature analysis results of the 8 machine system are as shown in Table 2, 0.77Hz, which is the weakest and stronger mode of damping, and is the leading oscillation mode...
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