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

Fuzzy clustering analysis-based power distribution network fault line selection method

A fuzzy clustering analysis, distribution network fault technology, applied in fault location, measurement of electricity, measurement of electrical variables, etc. Line selection accuracy, strong anti-interference, and the effect of increasing fault signals

Active Publication Date: 2017-02-01
CHINA PETROLEUM & CHEM CORP +1
View PDF6 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the problem of misjudgment and missed judgment in the fault line selection of the distribution network in the prior art, especially in the event of a high-resistance grounding fault, and proposes a method based on zero-sequence current active component change Quantitative fuzzy clustering method for line selection

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
  • Fuzzy clustering analysis-based power distribution network fault line selection method
  • Fuzzy clustering analysis-based power distribution network fault line selection method
  • Fuzzy clustering analysis-based power distribution network fault line selection method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0025] Based on the fuzzy clustering line selection algorithm based on the zero-sequence current active component variation, take the judgment of whether the 611 line on the 1# main transformer on the 6kV side of the Zhaocun substation in Zhongyuan Oilfield is an example. The work flow chart is as follows figure 1 As shown, the following steps are taken:

[0026] 1. Monitor the bus voltage in real time. When a certain phase voltage is 0, it is judged that a single-phase grounding short circuit fault has occurred. Table 1 below shows several fault lines with historical faults;

[0027] Table 1 Fault number corresponding fault circuit table

[0028]

[0029] According to the fault recording and broadcasting diagram, the zero-sequence voltage of the busbar and the active component of the zero-sequence current of each outgoing line are determined as shown in Table 2 below:

[0030] Table 2 Zero-sequence voltage and zero-sequence ammeter for different faults

[0031]

[003...

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 present invention relates to a fuzzy clustering analysis-based power distribution network fault line selection method. According to the method, the ratio of the variation quantity of the active component of the zero-sequence current of each outgoing line of a power distribution network to the total variation quantity of the active component of the zero-sequence current of the outgoing lines of the power distribution network is calculated; the simulation model of the actual operation of the power distribution network is constructed; and a fault line is determined through using a clustering analysis method. When a single-phase grounding fault occurs on the arc suppression coil grounding system of a neutral point, fault characteristics are not obvious; the grounding mode of the neutral point in the power distribution network is changed, fault signals are amplified, and therefore, line selection accuracy can be improved; a bus-bar potential transformer PT and a current transformer CT are adopted to measure the zero-sequence voltage of a bus-bar and the zero-sequence current of the outgoing lines before and after a resistor is switched; the variation quantity of the active component of the zero-sequence current of each outgoing line of lines is monitored; errors brought by measurement devices such as the current transformer CT of the line can be offset; and high anti-interference performance can be realized.

Description

technical field [0001] The invention relates to a fuzzy clustering line selection method based on zero-sequence current active component variation, in particular to the technical field of a single-phase ground fault grounding line selection method for a small current grounding system. Background technique [0002] The neutral point of my country's 6kV ~ 66kV distribution network is mostly grounded by arc suppression coils. When a single-phase ground fault occurs, it can run with the fault for a period of time. If it is an instantaneous single-phase ground fault, since the inductive current generated by the arc suppression coil and the capacitive current at the fault point are offset, the current at the fault point is maintained at a small value, the purpose of automatic arc suppression can be achieved, and the system can return to normal working state. If a stable power frequency arc is formed at the fault, although the line voltage remains stable, the phase voltage rises, t...

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
CPCG01R31/088
Inventor 李金龙孙刚王教波刘金亮郝新领耿宪福徐明山魏军源
Owner CHINA PETROLEUM & CHEM CORP
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