Unlock instant, AI-driven research and patent intelligence for your innovation.

A Parameter Identification Method of Low Frequency Oscillation Signal Considering Singular Values

A low-frequency oscillation and signal parameter technology, applied in the direction of reducing/preventing power oscillation, AC network circuits, circuit devices, etc., can solve the problems of inability to realize accurate identification of low-frequency oscillation signal parameters, not considering singular values, etc., to avoid influence and improve Recognition effect, weight reduction effect

Active Publication Date: 2022-01-28
HOHAI UNIV
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, it should be pointed out that none of the above methods consider the singular values ​​caused by impulse noise, etc., and cannot realize the accurate identification of low-frequency oscillation signal parameters in this case.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A Parameter Identification Method of Low Frequency Oscillation Signal Considering Singular Values
  • A Parameter Identification Method of Low Frequency Oscillation Signal Considering Singular Values
  • A Parameter Identification Method of Low Frequency Oscillation Signal Considering Singular Values

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0126] In order to verify the effectiveness and practicability of the method of the present invention, the following test example commonly used in the identification and analysis of the low-frequency oscillation model parameters of the power system is adopted. The mathematical expression of the low-frequency oscillation signal is:

[0127] the y 1 (t)=e -0.012t sin(0.5t)+n t 0≤t≤400

[0128] The true value of the frequency of the low-frequency oscillation signal w=0.5, the true value of the damping factor is δ=0.012, and the sampling time t=k (k=1,2...400) in the test, n t is Gaussian white noise. When using the method of the present invention to identify the parameters of the low-frequency oscillation model, set the maximum identification iteration time S=400, and the initial value of the parameter identification is set to The initial values ​​of covariance matrix for parameter estimation covariance matrix, system noise and measurement noise are:

[0129] R 0 =10 ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a low-frequency oscillation signal parameter identification method considering singular values, which can not only effectively detect the singular values ​​existing in the measurement, innovation sequence and model structure, but also avoid the singular values ​​of the traditional Kalman filter by reducing the weight of the singular values The divergence problem in the presence of singular values ​​improves the robustness of the identification method, and can accurately identify the parameters of low-frequency oscillation signals in power systems in the presence of singular values.

Description

technical field [0001] The invention relates to a method for identifying parameters of a low-frequency oscillation signal model considering singular values, and belongs to the technical field of signal analysis and parameter identification. Background technique [0002] There is a close relationship between power system security and stability issues and low-frequency oscillation signals, which contain power system operating situation information. Therefore, how to extract the information represented by the low-frequency oscillation signal through monitoring and analysis methods, and take appropriate measures in a timely manner is of great significance to ensure the safe operation of the power system. [0003] In recent years, many scholars have carried out in-depth and extensive research on the mode identification and model parameter identification of low-frequency oscillation signals in power systems. Aiming at the problem of model parameter identification of low-frequency...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/24
CPCH02J3/24H02J2203/20
Inventor 王义孙永辉翟苏巍武小鹏吕欣欣
Owner HOHAI UNIV