Quantum-genetic-algorithm-based fault diagnosis method for medium-voltage distribution network

A quantum genetic algorithm and distribution network fault technology, applied in the direction of measuring electricity, fault location, measuring electrical variables, etc., can solve problems such as failure to consider diagnostic accuracy and insufficient consideration of component timing

Inactive Publication Date: 2016-05-25
STATE GRID TIANJIN ELECTRIC POWER +1
View PDF4 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The above method provides a good research idea for the fault diagnosis of power system, but there are still the following limitations: First, it fails to consider the diagnostic accuracy of protection or switch refusal to operate, malfunction and information distortion under the condition of distribution network fault; Second, the timing of component actions in the power system under fault conditions has not been fully considered

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
  • Quantum-genetic-algorithm-based fault diagnosis method for medium-voltage distribution network
  • Quantum-genetic-algorithm-based fault diagnosis method for medium-voltage distribution network
  • Quantum-genetic-algorithm-based fault diagnosis method for medium-voltage distribution network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] Embodiments of the present invention are described in further detail below in conjunction with the accompanying drawings:

[0033] A fault diagnosis method for medium voltage distribution network based on quantum genetic algorithm, such as figure 1 shown, including the following steps:

[0034] Step 1. Establish an improved medium-voltage distribution network fault diagnosis model by using the actual and expected values ​​of component actions and incorporating the protection status of circuit breaker failure protection and circuit breaker automatic reclosing.

[0035] According to the general method, the following fault diagnosis model of medium voltage distribution network can be established by using the actual and expected values ​​of component actions. The objective function of the model is:

[0036] E ( x ) = Σ k = 1 ...

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 relates to a quantum-genetic-algorithm-based fault diagnosis method for a medium-voltage distribution network. The method is characterized in that the method comprises the following steps that: step one, an improved medium-voltage distribution network fault diagnosis model is established by employing actual and expected values of element movement and combining the circuit breaker failure protection and the protection state of automatic opening and closing of the circuit breaker; and step two, a quantum-genetic-algorithm-based improved medium-voltage distribution network fault diagnosis model is solved to carryout fault diagnosis on the medium-voltage distribution network. According to the invention, the distribution network fault diagnosis model is established by analyzing the element type and the protection configuration situation of the distribution system; protection and the movement situation of and circuit breaker after a fault scene are simulated; and then the fault model is solved by using the quantum genetic algorithm. Therefore, functions that a fault element can be localized accurately after fault occurrence at a distribution network and the fault of the distribution network can be diagnosed rapidly and comprehensively can be realized.

Description

technical field [0001] The invention relates to the technical field of urban distribution network planning and fault diagnosis, in particular to a method for fault diagnosis of a medium-voltage distribution network based on a quantum genetic algorithm. Background technique [0002] As an important link in the production, transmission and use of electric energy, the power distribution system is the key link between the actual user demand side and the power generation and transmission system. Therefore, how to effectively and reasonably locate and diagnose the fault after the fault occurs in the distribution network is a key part of the current evaluation and development of the urban power grid. Considering that in the distribution network, the harsh environment of the communication information device and the inconsistency in the development of distribution automation in different regions have caused a large number of uncertain factors in the fault information of the distribut...

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): G01R31/00G01R31/08
CPCG01R31/00G01R31/086Y04S10/52
Inventor 姚瑛郗晓光王浩鸣李琳董艳唯
Owner STATE GRID TIANJIN ELECTRIC POWER
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