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

Power system state recognition method based on rapid accurate research affinity error algorithm

A power system and attractor technology, applied in the field of power system state identification, can solve problems such as poor accuracy, slow operation speed, and low search efficiency, achieve fast and accurate judgment, simplify error processing, improve operating speed and attractor search effect of ability

Active Publication Date: 2018-07-06
NANJING NORMAL UNIVERSITY
View PDF4 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is: in order to overcome the shortcomings of the prior art, the present invention proposes a method that can make up for the shortcomings of the above-mentioned algorithm, such as slow operation speed, poor accuracy, and low search efficiency, and proposes a fast, clear and accurate algorithm. Algorithm to solve two-parameter change attractor state judgment method

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 state recognition method based on rapid accurate research affinity error algorithm
  • Power system state recognition method based on rapid accurate research affinity error algorithm
  • Power system state recognition method based on rapid accurate research affinity error algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:

[0043] Those skilled in the art can understand that, unless otherwise defined, all terms (including technical terms and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. It should also be understood that terms such as those defined in commonly used dictionaries should be understood to have a meaning consistent with the meaning in the context of the prior art, and will not be interpreted in an idealized or overly formal sense unless defined as herein Explanation.

[0044] The invention relates to an error algorithm for quickly and accurately searching for an attractor, which is used to solve the state identification of a power system. The algorithm replaces the calculation of the sequence spectrum entropy complexity or the calculation of the maximum Lyapun...

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 power system state recognition method based on a rapid accurate research affinity error algorithm, comprising: establishing change intervals of a k-order power system model with model dual parameters so as to obtain a distribution of the system when moving on a status change plane; solving a k-order system differential equation according to a numerical analysis method toobtain a sequence of the system, calculating a first-order error of a maximum in an iterative sequence so as to judge a motion trajectory of the system, and estimating system chaos or system instability. In addition, the extreme error algorithm is used to analyze influence of disturbing load upon a power system chaos model, high speed, high efficiency and good accuracy are gained; the method is significant to the field of researches on chaotic dynamics features of power systems.

Description

technical field [0001] The invention relates to a power system state identification method, which belongs to the technical field of power system dynamics. Background technique [0002] With the in-depth study of power system stability, it is found that when the system suffers from external disturbances, such as periodic load disturbances and electromagnetic power disturbances, as long as the disturbance amplitude and frequency meet certain conditions, the system will produce chaotic oscillations. When studying the chaotic dynamics of the power system, the bifurcation diagram and Lyapunov exponent spectrum of the disturbance load frequency or amplitude are often made, and then the stability of the power system in a certain parameter interval is analyzed by combining the two. Obviously, this is only a single-dimensional analysis of the motion state of the system, and if the influence of the frequency and amplitude of the disturbance load on the power system is considered at th...

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): G06F17/50
CPCG06F2111/10G06F30/20G06F2119/06
Inventor 闵富红李闯
Owner NANJING NORMAL UNIVERSITY
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