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

Construction method and application of dominant instability mode recognition model of power system

A pattern recognition and power system technology, applied in the direction of character and pattern recognition, biological neural network model, neural architecture, etc., can solve the problem of low accuracy of dominant instability pattern recognition, achieve enhanced ability to adapt to power grid topology changes, and improve The effect of feature extraction ability and improvement of recognition accuracy

Pending Publication Date: 2022-02-08
HUAZHONG UNIV OF SCI & TECH
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Aiming at the above defects or improvement needs of the prior art, the present invention provides a construction method and application of a dominant instability pattern recognition model of a power system to solve the problems caused by relying on a pre-built static graph structure in the prior art. The technical problem of the low identification accuracy of the dominant instability mode

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
  • Construction method and application of dominant instability mode recognition model of power system
  • Construction method and application of dominant instability mode recognition model of power system
  • Construction method and application of dominant instability mode recognition model of power system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0047] Power angle instability is manifested as the phenomenon that the synchronous generators no longer maintain synchronous operation after the power system is disturbed. From the perspective of system energy, power angle instability is caused by excess acceleration unbalanced energy that cannot be absorbed by the system potential energy after the system fails and becomes unstable. The control measure of cutting the generator is adopted to restore the stable operation of the system. From the perspective of physical mechanism, the voltage instability is mainly due to the fact that the load requires too much current for the system, which eventually exceeds the maximum current that the equivalent current source can provide. This reflects the insufficient dynamic reactive power support of the system, so the voltage instability The control measure taken is usually load shedding. If the power angle instability is misjudged as voltage instability, it will cause the malfunction of ...

Embodiment 2

[0099] A method for identifying a dominant instability mode of a power system, comprising: after a fault occurs in the power system, inputting the magnitude matrix and phase angle matrix of the bus voltage after the fault into the dominant instability mode provided by Embodiment 1 of the present invention The construction method of the recognition model is constructed to obtain the dominant instability pattern recognition model, and the category of the dominant instability pattern after the fault is obtained;

[0100] Among them, the amplitude matrix is ​​composed of the bus voltage amplitude vector of each grid node; the bus voltage amplitude vector is a vector composed of the bus voltage amplitude at each sampling time; the phase angle matrix is ​​composed of the bus voltage of each grid node at each sampling time The voltage phase angle vector is formed; the bus voltage phase angle vector is a vector composed of the bus voltage phase angles at each sampling moment. The meth...

Embodiment 3

[0112] A machine-readable storage medium, the machine-readable storage medium stores machine-executable instructions, and when the machine-executable instructions are called and executed by a processor, the machine-executable instructions cause the processor to implement the present invention. The construction method of the dominant instability pattern recognition model provided by the first embodiment of the invention and / or the dominant instability pattern recognition method provided by the second embodiment of the present invention.

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 construction method and application of a dominant instability mode recognition model of a power system, and belongs to the field of power system stability judgment. The dominant instability mode recognition model comprises a graph attention module and a full connection layer network which are cascaded; the graph attention module learns and obtains the weight of each edge in a graph structure based on an attention mechanism in combination with an input amplitude matrix and an input phase angle matrix, and performs feature extraction on the amplitude matrix and the phase angle matrix through a graph neural network based on the obtained weights to obtain mode features of the power system, wherein the graph structure is constructed according to a power grid topology. According to the method, the attention mechanism is introduced into the graph neural network, the relationship between each training sample and the weight of each edge in the graph structure is learned by using the attention mechanism, so that the construction of the dynamic graph structure network is realized, the method has the capability of adapting to the power grid topology change, the power grid topology characteristics contained in the graph structure are enhanced, the feature extraction capability of the graph neural network is improved, and the accuracy is high.

Description

technical field [0001] The invention belongs to the technical field of power system stability judgment, and more specifically relates to a construction method and application of a dominant instability pattern recognition model of a power system. Background technique [0002] The stability of power system operation is closely related to the sustainable development of social economy. In order to ensure that the power system operates in a safe and stable state, the power company needs to carry out large-scale digital simulation work every year. Digital simulation provides strong guidance for the operation mode of the power system and the formulation of stability control measures, which is of great importance in practical engineering. significance. [0003] Power grid simulation can be divided into two parts: simulation calculation and simulation data analysis, in which the former provides data support for the latter. During the simulation calculation process, a large amount o...

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): G06F30/27G06K9/62G06N3/04
CPCG06F30/27G06N3/045G06F18/214
Inventor 姚伟张润丰石重托文劲宇
Owner HUAZHONG UNIV OF SCI & 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

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