Quantitative identification method for influence factors of subsynchronous oscillation damping characteristics
A technology of subsynchronous oscillation and influencing factors, which is applied in design optimization/simulation, special data processing applications, complex mathematical operations, etc.
Pending Publication Date: 2022-04-19
SHANGHAI UNIVERSITY OF ELECTRIC POWER
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However, the FFT method has the problems of spectrum leakage, fence effect, and increased signal error; the mode decomposition method includes empirical mode decomposition and wavelet decomposition algorithms. The problem of modal aliasing; the wavelet decomposition method needs to select the appropriate basis function and threshold, and there is no unified selection principle at present, and the result fluctuates greatly; the Prony method can extract the modal information in the data, but the noise contained in the oscillation signal and the model The order of will affect its accuracy
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[0045] The present invention proposes a quantitative identification method for influencing factors of subsynchronous oscillation damping characteristics. The method first uses singular value decomposition combined with Prony method to improve noise resistance, performs modal parameter identification on oscillation data, and uses singular value growth rate method to determine the signal order; secondly, select the influencing factors of subsynchronous oscillation and use Pearson and Spearman correlation coefficient to evaluate the correlation among factors; use principal component regression to avoid the information coverage problem among variables and improve the accuracy of damping ratio estimation; finally, according to the influencing factors Based on the quantitative relationship with the damping ratio, the damping ratio of the wind farm is calculated, so as to identify the dominant factors of the damping characteristics of the subsynchronous oscillation.
[0046] like fig...
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The invention relates to a quantitative identification method for influence factors of subsynchronous oscillation damping characteristics. The method comprises the following steps: 1) collecting original operation waveform data of a wind power plant, operation environment information of the wind power plant and internal parameters of the wind power plant; (2) extracting oscillation mode related information serving as dependent variables from the original operation waveform data by adopting an SVD-Prony algorithm, wherein the oscillation mode related information comprises mode frequency, damping ratio, phase and amplitude; 3) selecting influence factor independent variables influencing damping characteristics from the wind power plant operation environment information and the wind power plant internal parameters, performing correlation analysis and collinearity diagnosis on the independent variables, and removing the independent variables with too strong correlation and collinearity; and 4) performing principal component regression analysis on the dependent variables and all influence factor independent variables after correlation analysis elimination to obtain a quantitative relationship between the independent variables and the dependent variables. Compared with the prior art, the method has the advantages of being accurate and effective, reducing calculation amount and the like.
Description
technical field [0001] The invention relates to the field of power system subsynchronous oscillation suppression, in particular to a quantitative identification method for influencing factors of subsynchronous oscillation damping characteristics based on SVD-Prony and principal component regression. Background technique [0002] With the large-scale integration of wind power into the grid, more security and stability issues have emerged, among which the subsynchronous oscillation problem is particularly prominent. Research on the influencing factors of subsynchronous oscillation is helpful to clarify the scene of oscillation, optimize and adjust the parameters of wind turbines, so as to solve the oscillation problem in actual engineering. Existing studies use traditional subsynchronous oscillation analysis methods that require modeling to determine influencing factors, such as impedance analysis method and participation factor method. With the gradual expansion of the scale...
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IPC IPC(8): G06F30/20G06F17/18G06F113/06G06F119/02
CPCG06F30/20G06F17/18G06F2113/06G06F2119/02
Inventor 边晓燕张骞杨云轶徐波赵健林顺富王小宇
Owner SHANGHAI UNIVERSITY OF ELECTRIC POWER