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

A Fast Recognition Method of Multi-channel Power Signal Pattern Based on SSA Algorithm

An identification method and power signal technology, applied in electrical components, circuit devices, AC network circuits, etc., can solve the problems of inability to diagnose and treat power faults, large amount of power data, and insufficient analysis speed.

Active Publication Date: 2022-05-24
中建五局第三建设(深圳)有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, in the mode analysis of low-frequency oscillation in the MIMO system, the amount of real-time power data is large, and the analysis method disclosed in the prior art is not fast enough for the mode analysis of low-frequency oscillation, which will make it impossible to analyze power failures. Real-time diagnosis and treatment, calculation efficiency and accuracy need to be further improved, so it is urgent to provide a fast identification method for multi-channel power signal modes, so as to quickly and effectively realize the analysis of low-frequency oscillation modes

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 Fast Recognition Method of Multi-channel Power Signal Pattern Based on SSA Algorithm
  • A Fast Recognition Method of Multi-channel Power Signal Pattern Based on SSA Algorithm
  • A Fast Recognition Method of Multi-channel Power Signal Pattern Based on SSA Algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0085] Obtain the low-frequency oscillation signal of the power system with 4 × 4 channels, each channel contains an oscillation mode, and the specific parameters of each mode are shown in Table 1. After the analysis of the fast identification method of the multi-channel power signal mode based on the SSA algorithm of the present invention Later, after separation by the ICA algorithm, the optimal parameter estimation is obtained according to the SSA algorithm, so as to obtain the low frequency oscillation mode. As can be seen from Table 2 below, the parameters obtained by the method of the present invention are very close to the original parameters, so the method of the present invention can effectively identify each parameter of the low frequency oscillation mode.

[0086] In addition, through the comparison of the horizontal time axis, the recognition speed of the fast recognition method of the present invention is shortened by more than 30% compared with other conventional bio...

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 method for quickly identifying multi-channel power signal patterns based on the SSA algorithm. By acquiring the low-frequency oscillation signal of the multi-channel power system, the signals are separated by an independent component method, so that the multi-channel time-varying signals are separated into mutually independent Statistical independent components, and then use the SSA algorithm to construct the leader and follower individuals, select the parameters of the low-frequency oscillation object as the leader and follower individuals, initialize the individual, calculate the fitness of each individual, and use the adaptive weight to carry out Iteratively update to find the optimal fitness value of the individual, so as to identify the low-frequency oscillation mode. The fast identification method of the present invention can well separate the multi-channel low-frequency oscillation signals, so that the system can quickly and effectively identify the low-frequency oscillation mode, and process the power data in real time.

Description

technical field [0001] The invention belongs to the field of power system analysis, and more particularly, relates to a fast identification method of a multi-channel power signal pattern based on an SSA algorithm. Background technique [0002] In the power system, the interconnection of power grids is beneficial to improve the operation economy and reliability of power generation and transmission, but the interconnection of power grids between regions may cause low-frequency oscillations, and the probability of low-frequency oscillations continues to increase. If it is suppressed, the stability of the power system will be destroyed. At present, the main function of the low-frequency oscillation modal parameter identification module in the WAMS system is to independently analyze the PMU signal based on a single output. However, the characteristic parameters of the dominant mode are not highlighted, and there is a hidden danger of missing key oscillation modes, and the calcul...

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): H02J3/00
CPCH02J3/00H02J2203/20
Inventor 刘鑫曾智权王林
Owner 中建五局第三建设(深圳)有限公司
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com