Low-frequency oscillation dominant mode distinguishing method based on improved SVD noise reduction and Prony

A low-frequency oscillation and identification method technology, applied in the field of power system, can solve problems such as the difficulty of determining the effective singular value order of the Hankel matrix order, the difficulty of optimal solution of complex exponential model, the nonlinear least squares problem, and the influence of Prony pole formula. , to achieve the effect of strong noise suppression, reduced impact and accurate identification

Active Publication Date: 2017-06-13
山东昌达自动化技术有限公司
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Problems solved by technology

[0005] However, the Prony algorithm has high requirements on the input signal, and noise interference will seriously affect the estimation accuracy of the Prony pole formula, thus causing large errors in the calculation results; under ideal conditions, the solution of the Prony algorithm is not

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  • Low-frequency oscillation dominant mode distinguishing method based on improved SVD noise reduction and Prony
  • Low-frequency oscillation dominant mode distinguishing method based on improved SVD noise reduction and Prony
  • Low-frequency oscillation dominant mode distinguishing method based on improved SVD noise reduction and Prony

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[0050] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiment is only one embodiment of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0051] For simplicity, the following content omits common technical knowledge known to those skilled in the art.

[0052] The LFO dominant mode identification method based on improved SVD noise reduction and Prony includes:

[0053] S1. According to the input signal and the basic inequality principle, construct the Hankel matrix with the maximum product of the number of matrix rows and the number of matrix columns in the SDV algorithm; in specific implementation, fo...

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Abstract

The invention discloses a low-frequency oscillation dominant mode distinguishing method based on improved SVD noise reduction and Prony. The method comprises the steps that according to an input signal and a basic inequality principle, Hankel matrices having maximum products of matrix line number and matrix column number are constructed in an SDV algorithm; according to the input signal, signal-to-noise ratio curves of the Hankel matrices are drawn and are analyzed to determine the best effective singular value order; according to the best effective singular value order, the identification orders in a Prony algorithm are selected to determine the best identification order; the SDV algorithm having the Hankel matrices and the best effective singular value order is utilized to process the input signal, and a denoised signal is obtained; the denoised signal is analyzed through the Prony algorithm having the best identification order, and a low-frequency oscillation dominant mode is identified. The low-frequency oscillation dominant mode distinguishing method based on improved SVD noise reduction and Prony has the advantages of being strong in noise suppression capability, high in identification precision and accuracy and the like.

Description

technical field [0001] The invention relates to the field of power systems, in particular to a low-frequency oscillation dominant mode identification method based on improved SVD noise reduction and Prony. Background technique [0002] With the promotion of large power grid interconnection and the continuous expansion of the power system scale, while improving the reliability and economy of power grid operation, it also brings new hidden dangers; in recent years, low-frequency oscillations have occurred many times, seriously endangering the safety of the power grid Stable operation has attracted extensive attention from industry and academia; therefore, correct analysis of low-frequency oscillation characteristic parameters is an important basis for effectively suppressing low-frequency oscillation phenomena in power systems. [0003] The low-frequency oscillation analysis based on the disturbed trajectory can directly analyze the output response of the system without detail...

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Application Information

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IPC IPC(8): G06F17/50G06K9/00
CPCG06F30/20G06F2218/04
Inventor 王德林潘志豪郭成马宁宁康积涛
Owner 山东昌达自动化技术有限公司
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