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Deep learning-based composite insulator grading ring structure design method

A composite insulator and deep learning technology, applied in the field of composite insulator grading ring structure design based on deep learning, can solve the problems of large amount of calculation, decreased insulation performance of composite insulators, time-consuming and laborious, etc., to speed up the design speed and reduce time costs. and economic costs

Pending Publication Date: 2021-12-28
ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID SHANDONG ELECTRIC POWER COMPANY +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, not all grading rings of any size can play the role of uniform electric field. If the structural design is unreasonable, the insulation performance of the composite insulator may be reduced.
[0004] In the early days, the exhaustive method was generally used to design the parameters of the voltage equalizing ring structure adapted to different composite insulators, but it needs to continuously adjust the structural size parameters of the voltage equalizing ring, which requires a large amount of calculation and is time-consuming and laborious.

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0031] Further, the structural parameters of the composite insulator in step a) include structural height, insulation distance, minimum dry-arc distance, minimum creepage distance, shed diameter and length of sheds, pipe diameter and length of sheath, and core rod radius And length and rated voltage and rated mechanical load a total of 14 parameters. The structural parameters of the equalizing ring include three parameters: the pipe diameter, the ring diameter and the shielding depth of the equalizing ring. Establish a structural parameter database, and store the above 17 parameters as a set of data into the structural parameter and electric field strength value database, and reserve 4 parameter bits for each set of data and wait until the next step to add 4 electric field strength values.

Embodiment 2

[0033]In step b), use ANSYS MAXWELL 3D software to establish a three-dimensional finite element model of the actual size of the composite insulator and its equalizing ring, then set the dielectric constant parameter values ​​of the mandrel, sheath, and fitting materials, and then simulate the actual The situation applies DC voltage excitation to the composite insulator model without grading ring and the composite insulator model with grading ring, and uses the simulation calculation function of ANSYS MAXWELL software to solve the composite insulator model without grading ring and the composite insulator model with grading ring installed. The electric field distribution of the composite insulator model of the ring. Simulate the composite insulator with and without grading rings, take the electric field strength values ​​at the junction of the high and low voltage side fittings, the sheath and the air, a total of 4 data, and compare the 4 electric field strength values ​​with the...

Embodiment 3

[0035] The electric field strength values ​​at the joints of fittings, sheath and air of the four composite insulator models are taken as reference values ​​and stored in the database.

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PUM

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Abstract

According to the deep learning-based composite insulator grading ring structure design method, when a novel composite insulator is designed and produced, grading ring structure parameters suitable for the insulator can be rapidly obtained according to experience, an initial reference basis is provided for the design of the grading ring, the design speed is increased, and compared with a traditional design method, the method has the advantages that the time cost and the economic cost required by a design link can be greatly reduced.

Description

technical field [0001] The invention relates to the technical field of electrical equipment insulation structure design, in particular to a deep learning-based design method for a voltage grading ring structure of a composite insulator. Background technique [0002] With the construction of a strong smart grid with three horizontal, three vertical and one ring networks, my country's high-voltage and large-capacity transmission technology is also developing continuously, among which composite insulators are widely used in overhead transmission lines. Compared with traditional suspension insulators, composite insulators have the advantages of light weight, excellent anti-pollution flashover ability, high mechanical strength and easy maintenance. It has become the equipment that is given priority to use in heavily polluted areas in my country. [0003] The electric field distribution of the composite insulator is extremely uneven, and the axial electric field presents a U-shape...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/23G06F30/27G06N3/04G06N3/08G06F113/26
CPCG06F30/23G06F30/27G06N3/08G06F2113/26G06N3/048G06N3/044
Inventor 刘辉沈浩贾然周超沈庆河张洋刘嵘刘传斌邓禹周军方泳皓辜超姚金霞廖敏夫段雄英马新明朱文兵段玉兵张皓马国庆李鹏飞王建刘萌李杰曹志伟杨祎师伟顾朝亮林颖李程启朱孟兆孙景文王江伟王学磊
Owner ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID SHANDONG ELECTRIC POWER COMPANY