Low frequency oscillation modal identification method based on improved generalized morphological filtering

A generalized form, low-frequency oscillation technology, applied in the direction of reducing/preventing power oscillation, reducing flicker of AC network, etc., can solve problems such as insufficient noise, complexity, and accuracy of interference signal identification, and achieve improved anti-noise ability and simple calculation Effect

Active Publication Date: 2017-02-22
FUZHOU UNIV
View PDF2 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] With the extensive use of nonlinear devices, the pollution in the power grid is becoming more and more serious and complex. The signals taken from the power system contain a lot of noise, and the existence of interference will seriously interfere with the accuracy of signal identifica

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
  • Low frequency oscillation modal identification method based on improved generalized morphological filtering
  • Low frequency oscillation modal identification method based on improved generalized morphological filtering
  • Low frequency oscillation modal identification method based on improved generalized morphological filtering

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] The technical solution of the present invention will be specifically described below in conjunction with the accompanying drawings.

[0040] The technical scheme of the present invention is specifically described below in conjunction with accompanying drawing, and use this algorithm to The test signal is analyzed, and the technical solution of the present invention is described in detail.

[0041] Such as figure 1 As shown, the present invention provides a low-frequency oscillation mode identification method based on improved generalized morphological filtering, comprising the following steps:

[0042] Step S1: extract the low-frequency oscillation signal of the power system, and use the generalized morphological filter to denoise it;

[0043] Step S2: Construct a generalized morphological filter, y(n)=α(OC[f(n)])+β(CO[f(n)]), where y(n) is the output signal of the generalized morphological filter , OC[f(n)] is a generalized morphological open-closed filter, CO[f(n)...

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 relates to a low frequency oscillation modal identification method based on improved generalized morphological filtering and aims to the low frequency oscillation modal identification of power system. A generalized morphological filtering is utilized to carry out de-noising processing to low frequency oscillation signals, and TLS-ESPRIT algorithm in adopted to do modal identification. For a problem of determining the order in the process of the TLS-ESPRIT algorithm being used to do the low frequency oscillation model identification, a ratio method between singular value difference and maximum singular value is adopted to determine the older. The method has the advantages of less calculation, fast speed, and less influence from subjective factors in the process of the order determination. According to the invention, the accurate identification of the low frequency oscillation mode under the noise interference is achieved, and a good application prospect is achieved.

Description

technical field [0001] The invention relates to the safe and stable operation of a power system, in particular to a low-frequency oscillation mode identification method based on improved generalized shape filtering. Background technique [0002] The stable operation of power system is the fundamental problem of power system. Due to the continuous expansion of the scale of the power system, especially the construction of high-voltage direct current transmission and the extensive use of nonlinear loads, the dynamic stability and transient stability of the power grid have become one of the key issues affecting its reliable and safe operation. Studies have shown that the high-magnification fast excitation transposition widely used in the power system will lead to weakening of the system damping and even some negative damping, so that it is extremely easy to induce low-frequency oscillations in the power grid under some small disturbances, and when the oscillations are severe, it...

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
IPC IPC(8): H02J3/24
CPCH02J3/002H02J3/24
Inventor 金涛刘对刘思议沈学宇
Owner FUZHOU UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap