Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

A method for predicting dynamic trajectory trend of power grid based on long short-term memory network

A long-term and short-term memory, trend prediction technology, applied in the direction of AC network circuits, electrical components, circuit devices, etc., can solve the problems of power grid dynamic trajectory trend prediction methods that have not seen long-term and short-term memory networks, such as literature reports, and avoid large-scale power outages. , Refined cutting amount, strong applicability effect

Active Publication Date: 2022-01-28
NORTHEAST DIANLI UNIVERSITY
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] So far, there are no literature reports and practical applications on the prediction method of power grid dynamic trajectory trend based on long short-term memory network

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 method for predicting dynamic trajectory trend of power grid based on long short-term memory network
  • A method for predicting dynamic trajectory trend of power grid based on long short-term memory network
  • A method for predicting dynamic trajectory trend of power grid based on long short-term memory network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0048] A power grid dynamic trajectory trend prediction method based on a long-term short-term memory network of the present invention can be driven by data to get rid of the constraints of the physical model, while ensuring the timeliness and accuracy of the prediction process. It includes the following contents:

[0049] 1) Considering that the trajectory has the two most important attributes that characterize its geometric characteristics, the rotation angle and the length, the trajectory offset distance is defined as:

[0050]

[0051]

[0052] In the formula, d θ representative track Angle offset between; d l representative track The length offset between the two trajectories is θ j -θ i , is the reference vector, the modulus is 1, and the direction is the same as consistent;

[0053] 2) with d l 、d θ Extract the generator characteristics of the complex system, and use the density-based clustering algorithm of DBSCAN (Density-Based Spatial Clustering of...

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 is a power grid dynamic trajectory trend prediction method based on a long-term and short-term memory network. Secondly, the disturbed trajectory of the equivalent machine system is quickly predicted based on the long short-term memory network; finally, the amount of machine cutting is calculated according to the extended equal area criterion to realize the emergency control of transient power angle stability. It has the advantages of scientific and reasonable method and strong applicability.

Description

technical field [0001] The invention belongs to the application field of transient stability control of a large power grid, and in particular relates to a method for predicting a dynamic track trend of a power grid based on a long-term and short-term memory network. Background technique [0002] With the continuous expansion of the scope of grid interconnection and the scale of new energy power generation, the characteristics of high penetration rate and high proportion of power electronics of renewable energy have become increasingly prominent, making the grid develop into a high-dimensional time-varying nonlinear power information physics system with multi-source information interaction. system. The existing grid online security defense concept and stability control technology with the core of modeling simulation and expected faults are difficult to adapt to the development requirements of the grid. The complexity of the physical system and multi-source informatization aff...

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
CPCH02J3/00
Inventor 安军杨少波穆钢俞嘉晨
Owner NORTHEAST DIANLI UNIVERSITY
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
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