Grid fault diagnosing method based on combined type cross entropy algorithm

A diagnostic method and technology for power grid faults, applied in fault locations, information technology support systems, etc., can solve the problems of large dispersion of genetic algorithm results, inability to stabilize optimal solutions, and easy to fall into local optimality.

Inactive Publication Date: 2013-10-09
HEILONGJIANG UNIVERSITY OF SCIENCE AND TECHNOLOGY
View PDF2 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, when the particle swarm algorithm solves discrete problems such as power grid fault diagnosis, it is easy to fall into local optimum.
The genetic algorithm adopts binary coding, so there is a Hamming Cliff problem, and at the same time, if Figure 8 — Figure 9 As shown, the results of the genetic algorithm are highly dispersed, and the optimal solution cannot be obtained stably.

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
  • Grid fault diagnosing method based on combined type cross entropy algorithm
  • Grid fault diagnosing method based on combined type cross entropy algorithm
  • Grid fault diagnosing method based on combined type cross entropy algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] The present invention will be described in more detail below with examples in conjunction with the accompanying drawings.

[0031] combine figure 2 , the realization of the present invention comprises the following steps:

[0032] 1. When the power grid fails, the data acquisition and monitoring control system (Supervisory Control And Data Acquisition, SCADA) and relay protection information system will collect the action information of the protector and circuit breaker, and send the information to the dispatch center. By analyzing the information and combining the network topology of the regional power grid, the dispatch center divides the fault area, so as to determine the set of suspicious fault components in the system. If there is only one component in the set of suspected faulty components, then the component is a faulty component, if there are multiple faulty components, proceed to the following steps.

[0033] 2. According to the action relationship between s...

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 a grid fault diagnosing method based on the combined type cross entropy algorithm. The method comprises the steps of collecting the action messages of a protector and a breaker by means of a data acquiring and monitoring control system and a relaying information system, marking off faulty sections and determining a suspended fault element set, establishing an objective function based on suspended fault elements and solving the function by means of the cross entropy algorithm, identifying a fault element through the obtained optimal solution, and outputting a diagnosing result. According to the grid fault diagnosing method based on the combined type cross entropy algorithm, a fault diagnosing model is established according to the action messages of the protector and the breaker, the optimal solution of the model is obtained by means of the cross entropy algorithm, and then the fault element is identified. The grid fault diagnosing method based on the combined type cross entropy algorithm can be used for on-line grid fault diagnosis.

Description

technical field [0001] The invention relates to a grid fault diagnosis method. Background technique [0002] With the continuous expansion of the scale of the power grid and the gradual increase of equipment, there will inevitably be various faults in the power grid, and because the power grid is widely distributed, once the system fails, it is not conducive to the actual search. Therefore, it is of great significance to study the problem of power grid fault diagnosis to realize automatic identification of fault components. The diagnosis method using the traditional mathematical model cannot guarantee the accuracy and rapidity of the diagnosis to a large extent. In comparison, the diagnosis method based on intelligent technology has obvious advantages. Therefore, the fault diagnosis method has changed from traditional technology to intelligent The development of technology is an important trend in the future development of this field. Intelligent technologies for power gri...

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): G01R31/08
CPCY04S10/52
Inventor 边莉边晨源
Owner HEILONGJIANG UNIVERSITY OF SCIENCE AND TECHNOLOGY
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