Power system disturbance classification method

A technology of power system and classification method, applied in the field of power system, can solve problems such as ignoring the influence of PMU data quality and restricting applications

Pending Publication Date: 2021-04-09
GUANGZHOU POWER SUPPLY BUREAU GUANGDONG POWER GRID CO LTD +1
View PDF0 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Most of the existing methods are studied on the assumption that the PMU data is normal, ignoring the impact of the PMU data quality
However, about 10% to 17% of the PMU data have different degrees of data quality problems, which seriously restricts its application in power system disturbance classification

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
  • Power system disturbance classification method
  • Power system disturbance classification method
  • Power system disturbance classification method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0054] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Those skilled in the art should understand that the described embodiments are only used to illustrate the gist and ideas of the present invention , should not be considered as limiting the scope of the present invention. Based on the embodiments of the present invention, all other variations and combinations of technical solutions obtained by those skilled in the art without creative work fall within the protection scope of the present invention.

[0055] Such as figure 1 As shown, it is a flowchart of a power system disturbance classification method based on a stacked denoising autoencoder and a random forest classifier according to an embodiment of the present invention. The disturbance classification method of the present invention mainly includes the following ste...

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 provides an electric power system disturbance classification method, which can capture robust feature expression of lost data in disturbance data based on a feature extraction method of a stacked denoising auto-encoder, and on the basis, a random forest classifier is used to realize identification of electric power system disturbance. The method can quickly and accurately classify the PMU disturbance data, still has very high recognition accuracy for the PMU disturbance data containing lost data, and is good in anti-noise performance. Compared with an existing disturbance classification method, PMU disturbance data containing lost data can be classified quickly and accurately, and real-time monitoring of dynamic behaviors of a power system is achieved.

Description

technical field [0001] The invention relates to the technical field of power systems, in particular to a power system disturbance classification method, in particular to a power system disturbance classification method considering PMU lost data. Background technique [0002] With the continuous expansion of the scale of the power system and the access of a large number of power electronic equipment, the complexity of the grid structure is increasing, and the security issues of the grid are also becoming more and more prominent. In recent years, frequent blackouts have caused huge impacts on social and economic development and people's lives. The study found that blackouts usually start with a single fault, and go through a series of chain reactions that eventually lead to the collapse of the grid. Therefore, the real-time monitoring and analysis of power system disturbance plays an important role in the safe and stable operation of the power system. Synchronized phasor mea...

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 Applications(China)
IPC IPC(8): G06K9/62G06N3/04G06N3/08
CPCG06N3/084G06N3/045G06F18/214G06F18/24323
Inventor 刘有志蒋雨辰张扬李子康刘灏毕天姝
Owner GUANGZHOU POWER SUPPLY BUREAU GUANGDONG POWER GRID CO LTD
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