Optimization Design of Grading Ring for 220 kV Basin-type Insulator Based on Finite Element Method and Neural Network Method

DAN Shuheng; WU Na; LI Haodong; JIANG Teng

doi:10.13296/j.1001-1609.hva.2018.03.011

您当前的位置：

首页 >

文章列表页 >

Optimization Design of Grading Ring for 220 kV Basin-type Insulator Based on Finite Element Method and Neural Network Method

更新时间：2025-04-26

- Optimization Design of Grading Ring for 220 kV Basin-type Insulator Based on Finite Element Method and Neural Network Method
- High VoltageApparatus Vol. 54, Issue 3, Pages: 79-85(2018)
- 作者机构：
  
  1. 上海电力学院电气工程学院
  2. 国网日照供电公司
  3. 国网淄博供电公司
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2018.03.011
  CLC： TM216
- Published：2018
- 稿件说明：
移动端阅览
[1]淡淑恒,吴娜,李昊东,姜腾.基于有限元和神经网络方法对220kV盆式绝缘子均压环结构优化设计[J].高压电器,2018,54(03):79-85.

DAN Shuheng, WU Na, LI Haodong, et al. Optimization Design of Grading Ring for 220 kV Basin-type Insulator Based on Finite Element Method and Neural Network Method[J]. High voltageapparatus, 2018, 54(3): 79-85.
[1]淡淑恒,吴娜,李昊东,姜腾.基于有限元和神经网络方法对220kV盆式绝缘子均压环结构优化设计[J].高压电器,2018,54(03):79-85. DOI： 10.13296/j.1001-1609.hva.2018.03.011.

DAN Shuheng, WU Na, LI Haodong, et al. Optimization Design of Grading Ring for 220 kV Basin-type Insulator Based on Finite Element Method and Neural Network Method[J]. High voltageapparatus, 2018, 54(3): 79-85. DOI： 10.13296/j.1001-1609.hva.2018.03.011.

摘要

针对GIS中盆式绝缘子

提出了一种优化其均压环结构参数的方法。这种方法首先运用有限元方法对盆式绝缘子建立模型

并进行电场计算

然后以此确定了盆式绝缘子均压环结构优化目标;在此基础上

引入神经网络算法

利用BP神经网络拟合了均压环各结构参数与优化目标之间的关系

对均压环的结构参数进行了优化设计

得到最优结构参数

克服了传统穷举法计算量大、消耗时间长的缺点。实验结果表明

在盆式绝缘子上安装优化后的均压环

可以大大降低盆式绝缘子沿面最大场强

有效改善盆式绝缘子沿面电场不均匀程度。

Abstract

A method for optimizing the structural parameters of the grading ring was proposed for basin-type insulator in GIS. Firstly

a model of basin-type insulator was established by adopting the finite element method to calculate its electric field

hence the optimization objective of the grading ring structure was obtained. Then

the BP neural network algorithm was employed to optimize the structural parameters of the grading ring. In addition

the highly nonlinear mapping capability of the neural network is used to fit the optimization objective function with the structural parametersof the grading ring and goal

avoiding the huge calculation and large time consumption of the exhaustion method.Experimental results show that installation of the optimized grading ring to the basin-type insulator can greatly lowerthe maximum value of surface electric field

and apparently improve the surface electric field distribution of the basin-type insulator.

关键词

Keywords

references

Views

250

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Application of RBFEM to Fast Optimization Design of Electric Field

Optimization Design for Grading Ring of Composite Insulators in UHV Transmission Lines Based on RBF-GA

Numerical Calculation of Electric Field and Design of Grading Ring for Fixed Contact of 550 kV Disconnector

Structural Optimization Design of Electromagnetic Repulsive Mechanism with Finite Element Method and Neural Network Method

Research on Temperature Distribution Characteristic of Transformer Based on Finite Element Method

Related Author

MA Ai-qing1

JIANG Xiu-chen2

JIA Yi-fan3

ZHANG Yujiao

XU Binzhao

XU Tianyong

LIU Yufang

ZHOU Lawu

Related Institution

College of Power and Automation,Shanghai University of Electric Power

Department of Electric Engineering,Shanghai Jiaotong University

Chalmers University of Technology,Gothenburg

College of Electrical Engineering and New Energy, China Three Gorges University

Hubei Electric Power Maintenance Company

⁰