Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Design method of low-frequency multi-sinusoidal signals based on linearized model identification of power system

A sinusoidal signal, power system technology, applied in character and pattern recognition, calculation, computer parts and other directions, can solve the problem of reducing the signal-to-noise ratio of the output response signal, affecting the identification accuracy of the power system multi-input multi-output linearization model, and the input signal The energy is not concentrated enough to achieve the effect of small disturbance

Active Publication Date: 2021-05-14
SOUTH CHINA UNIV OF TECH
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The two types of signals have relatively large energy in the 0.1 to 2.5 Hz frequency band concerned by low-frequency oscillation, but there is a certain amount of energy outside the concerned frequency band, which leads to insufficient concentration of input signal energy when performing MIMO linearization model identification on power systems. The signal-to-noise ratio of the system output response signal is reduced, which affects the accuracy of the identification of the multi-input multi-output linearization model of the power system

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
  • Design method of low-frequency multi-sinusoidal signals based on linearized model identification of power system
  • Design method of low-frequency multi-sinusoidal signals based on linearized model identification of power system
  • Design method of low-frequency multi-sinusoidal signals based on linearized model identification of power system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0033] A low-frequency multi-sine signal design method for multi-input multi-output linearization model identification proposed by the present invention, such as Figure 5 shown, including the following steps:

[0034] initial startup

[0035] (1) Determine the time-domain length of the low-frequency multi-sine signal as N, and the expected crest factor as C r,set , the corresponding Fourier coefficient record variable is FS, the amplitude record variable is Mag, and the phase record variable is Pha, and the initial FS, Mag, and Pha are all zero vectors with length N.

[0036] (2) Determine the harmonic component frequency ω of the low-frequency multi-sine signal k and the frequency domain amplitude a k , where k=0,1,…,N k -1,N k≤N / 2, then the amplitude a k According to the harmonic component frequency ω k The position corresponding to the amplitude record variable Mag is filled in the amplitude record variable Mag, so as to obtain the amplitude-frequency characteristic...

Embodiment 2

[0051] An embodiment of the method of the present invention is described below.

[0052] The method of the invention is used to generate a low-frequency multi-sine signal whose frequency domain energy is concentrated at 0.1-2.5 Hz, and a traditional method is used to generate a white noise signal through a low-pass filter and a pseudo-random signal with a limited frequency band. Among them, the white noise signal through the low-pass filter is obtained by filtering the white noise signal with a 5th-order Butterworth filter with a cutoff frequency of 2.5 Hz, and the pseudo-random signal with a limited frequency band is the white noise signal that will pass through the low-pass filter The amplitude of the signal is obtained by reassigning the sign to ±1p.u. The three low-frequency input signal lengths are all 100s, and the sampling rate is 100Hz, and the amplitude of the signal in the time domain is limited to ±0.1p.u.

[0053] figure 1 are the time-domain waveforms of three l...

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 design method for multi-sinusoidal signals in the low-frequency band for the identification of multi-input multi-output linearization models of electric power systems. By specifying the a k , ω k And the sampling length N, use the algorithm to solve a set of parameters of the signal where k=0,1,...,N k -1,N k ≤N / 2, so that the maximum value of the amplitude u(t) of the time-domain waveform of the low-frequency multi-sine signal is as small as possible, so as to obtain an input signal that meets the requirements of time-domain amplitude limitation and frequency-domain energy concentration. The excitation signal designed by the invention can concentrate the energy in the frequency band of interest, and the energy in the frequency band of no concern is almost zero, which solves the problem of low signal-to-noise ratio of the output response signal caused by the non-concentration of energy in the traditional small-amplitude excitation signal, and improves the power system. Identification accuracy. The low-frequency multi-sine signals generated by the invention are more conducive to the identification of the multi-input multi-output linearization model of the power system.

Description

technical field [0001] The invention relates to the cross technical field of power system identification and signal processing, in particular to a design method for low-frequency multi-sine signal used for multi-input multi-output linearization model identification of power system. Background technique [0002] With the development of the interconnected power grid, the problem of low-frequency oscillation in the power system in the frequency range of 0.1 to 2.5 Hz is prominent, which needs to be solved by installing a power system low-frequency oscillation controller. The design of power system low-frequency oscillation controller depends on the MIMO linearization model of the power system. In the actual power system engineering design, the MIMO linearization model identification problem needs to be solved first. In order to ensure the safe and stable operation of the power system during the identification process, practical projects usually use small disturbance signals to ...

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): G06F17/14G06K9/00
CPCG06F17/14G06F2218/00
Inventor 张俊勃曾繁宏
Owner SOUTH CHINA UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products