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

Intelligent substation secondary system reliability assessment method based on coefficient of variation method

A technology of intelligent substation and coefficient of variation method is applied in the field of reliability assessment of the secondary system of intelligent substation based on the coefficient of variation method, which can solve the problems of not being able to reflect the overall similarity degree and the overall evaluation of the reliability of the secondary system of the intelligent substation, etc. Achieving the effect of improving the level of reliability

Inactive Publication Date: 2017-05-31
CHINA ELECTRIC POWER RES INST +2
View PDF4 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the research on the reliability of the secondary system of the smart substation that has been carried out so far, most of the reliability evaluations are performed on a certain subsystem in the secondary system (such as protection system, communication system, etc.), and it is impossible to evaluate the reliability of the secondary system of the smart substation. An objective overall evaluation cannot reflect the overall similarity between each index of each topology structure and the ideal index

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
  • Intelligent substation secondary system reliability assessment method based on coefficient of variation method
  • Intelligent substation secondary system reliability assessment method based on coefficient of variation method
  • Intelligent substation secondary system reliability assessment method based on coefficient of variation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] The specific embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0027] Such as figure 1 As shown, the present invention is based on the variation coefficient method of the smart substation secondary system reliability evaluation method, including the following steps:

[0028] The first step: if figure 2 As shown, the realization of each function of the secondary system of the smart substation requires the participation of hardware devices and network systems in the substation, and the reliability of the secondary system of the substation is directly determined by them. The secondary system of smart substation usually includes switches, protection devices, IED equipment, communication links and servers. The failure rate of each component shown in Table 1 is obtained according to the failure rate data of each component provided by the relevant manufacturers.

[0029] Table 1 Failure rate of 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 an intelligent substation secondary system reliability assessment method based on a coefficient of variation method. The method includes: performing statistics on the number of key elements in an intelligent substation, and calculating the comprehensive failure rate of each element in various network structures; establishing a reliability evaluation matrix; converting the reliability evaluation matrix to a standard reliability matrix; obtaining the weight value of the comprehensive failure rate of each element according to a coefficient of variation to further obtain a weighted reliability matrix; and establishing a reliability characteristic space to obtain the relative proximity of each sample point to the optimal point and the worst point, ranking the relative proximity of each sample, and obtaining a reliability assessment result of a secondary system network structure represented by each sample point. According to the method, comprehensive evaluation is performed by employing the coefficient of variation method, factors which influence the reliability of the intelligent substation secondary system can be rapidly found out, and the reliability level of a substation communication system in the design and planning process is improved.

Description

technical field [0001] The invention relates to the field of reliability evaluation, in particular to a method for evaluating the reliability of a secondary system of an intelligent substation based on a variation coefficient method. Background technique [0002] The secondary system of smart substation plays a vital role in the safe and stable operation of smart substation and even the whole power system. With the promotion and application of the IEC61850 standard in the power system, the secondary system of the smart substation has undergone major changes in both function and structure compared with the traditional secondary system. The main feature of the smart substation secondary system is networking. The substation equipment is connected as a whole through different network topologies, and the functions of each equipment need to be realized by relying on the network. Therefore, it is necessary to effectively evaluate the reliability of the secondary system of the smar...

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): G06Q10/06G06Q50/06
Inventor 李仲青李伟喻锟李浩赵航林湘宁李正天
Owner CHINA ELECTRIC POWER RES INST
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