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

Small-current single-phase earth fault line selection method based on spiking neural P systems

A single-phase ground fault, pulse nerve technology, applied in the fault location, detection of faults by conductor type, measurement of electricity and other directions, can solve the problem of low accuracy

Inactive Publication Date: 2018-06-05
SOUTHWEST JIAOTONG UNIV
View PDF8 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a small current single-phase ground fault line selection method based on the pulse neural membrane system to solve the shortcomings of the current single line selection method with low accuracy, improve the accuracy of small current fault line selection, and thus ensure the power system Safe and reliable power supply

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
  • Small-current single-phase earth fault line selection method based on spiking neural P systems
  • Small-current single-phase earth fault line selection method based on spiking neural P systems
  • Small-current single-phase earth fault line selection method based on spiking neural P systems

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0107] The distribution network calculation example built by MATLAB / Simulink is used for simulation analysis. The distribution network system parameters are: rated power 250MVA, voltage 110kV / 35kV, line lengths 10km, 15km, 20km, 28km, 35km, 50km, fault location At 5% of line 1, its transition resistance is 0.2Ω.

[0108] The simulation results are as follows:

[0109] Table 2 Fault measurement values ​​of each line

[0110]

[0111] The fault measure value of each line after discretization

[0112]

[0113] Results after processing and inference of spiking neuromembrane systems

[0114]

[0115] From the above reasoning, it can be seen that the fault measurement value of line 1 after fusion is the largest, that is, it is determined to be a faulty line.

[0116] After a large number of experimental simulation analysis, when the line fault measure after fusion reasoning is greater than 0.45, the line is a faulty line.

[0117] Through the previous analysis, the pres...

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 small-current single-phase earth fault line selection method based on spiking neural P systems. The method comprises the following steps: extracting zero sequence characteristics, comprising steady state and transient characteristics, of each line of a power distribution network at the fault moment, and establishing a fault measurement function of each line; obtaining theline selection criterion weight and line selection decision rule based on an information gain degree and a rough set theory; and performing fuzzy reasoning on the spiking neural P systems to obtain the fused fault measures, and determining the faulty line. According to the method disclosed by the invention, the fault information is fully utilized, the acquired steady state zero sequence current amplitude, steady state zero sequence current phase angle, zero sequence reactive power amplitude, zero sequence admittance amplitude, transient zero sequence current energy value and transient zero sequence current effective value are taken as the line selection criterions, the maximal fault measure is obtained by performing fuzzy reasoning on the spiking neural P systems, line selection results can be accurately obtained, the defect that a single line selection criterion cannot adapt to a complex fault condition is overcome, the small-current fault line selection precision is improved, and safe and reliable power supply of the power system is ensured.

Description

technical field [0001] The invention relates to the technical field of fault diagnosis of power system distribution network, in particular to a small current single-phase grounding fault line selection method based on a pulse neural membrane system. Background technique [0002] There are three kinds of neutral point operation modes commonly used in my country's electric power system: neutral point directly grounded, neutral point ungrounded, and neutral point grounded through an arc suppression coil. The neutral point is not grounded and the neutral point is grounded through the arc suppression coil, also known as the small current grounding system. The neutral point operation mode of the distribution network below 35kV in my country mostly adopts the small current grounding operation mode. According to the statistics of relevant electric power departments, single-phase ground faults account for about 70% to 80% of the total faults in the distribution network under this op...

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): G01R31/08G01R31/02
CPCG01R31/086G01R31/088G01R31/50
Inventor 张葛祥葛眠俊荣海娜吴思东
Owner SOUTHWEST JIAOTONG UNIV
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