On-line low-frequency oscillation detection and node coherence grouping method based on experience modal decomposition

A technology of empirical mode decomposition and low frequency oscillation, applied in spectrum analysis/Fourier analysis, fault location, etc., can solve the problem that low frequency oscillation detection cannot be realized online node, the spectrum analysis of coherent grouping non-stationary oscillation is incorrect, etc.

Active Publication Date: 2009-04-15
BEIJING SIFANG JIBAO AUTOMATION +1
View PDF0 Cites 29 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] Aiming at the problem that the existing wide-area measurement system (WAMS)-based low-frequency oscillation detection

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
  • On-line low-frequency oscillation detection and node coherence grouping method based on experience modal decomposition
  • On-line low-frequency oscillation detection and node coherence grouping method based on experience modal decomposition
  • On-line low-frequency oscillation detection and node coherence grouping method based on experience modal decomposition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] The technical solution of the present invention will be further described in detail below in accordance with the drawings in the description and in conjunction with specific embodiments.

[0047] The present invention proposes a low-frequency oscillation modal analysis method based on wide-area measurement information and empirical mode decomposition method, which can realize on-line rapid detection of complex low-frequency oscillations in non-stationary power systems and coherent grouping of nodes. The typical implementation of this method For the flow chart, see the appendix of the manual figure 1 , the detailed steps are as follows:

[0048] (1) In the current time window, the spectrum analysis method based on empirical mode decomposition is used to decompose the measured oscillation curve of active power injection power or frequency of the node collected by PMU and sent to the wide-area measurement master station into natural mode curve; When there is no electromag...

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 belongs to the technical field of the low-frequency oscillation on-line detection and analysis in an electric power system and provides a low-frequency oscillation modal analysis method, which is based on wide area phasor metrical information and an empirical mode decomposition method and can carry out the on-line detection and node homology grouping toward the complex low-frequency oscillation of the electric power system. The modal analysis method not only has strong adaptability to the complex waveforms of non-linearity, non-stationarity or those containing non-periodic constituents, but also can carry out phase comparison toward nonsine or cosinoidal inherent modal curves which belong to the oscillation mode of the same electric power system but are slightly different in frequency and realize the homology grouping of the nodes participating in each oscillation mode, thus obtaining the power conversion relation among the nodes and the position of an oscillation center or interface.

Description

technical field [0001] The invention belongs to the technical field of on-line detection and analysis of low-frequency oscillations in electric power systems, and more specifically relates to a method for on-line low-frequency oscillation detection of electric power systems and coherent grouping of nodes by using information from a wide-area phasor measurement system. Background technique [0002] When low-frequency oscillation occurs in the power system, in order to understand and take measures to suppress the oscillation, operators need to know the modal information of the low-frequency oscillation in addition to the frequency, amplitude and damping ratio of the oscillation. The modal information of low-frequency oscillation includes the coherent grouping relationship of the oscillation nodes, that is, the interaction relationship of active oscillation power between nodes, and the position of the oscillation center or interface. For these modal information, the previous me...

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): G01R31/08G01R23/16
Inventor 段刚林俊杰吴京涛
Owner BEIJING SIFANG JIBAO AUTOMATION
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