Optimization Design of Vacuum Interrupter Structure Based on Extreme Learning Machine and MOGWO

DING Can; WANG Zhoulin; YUAN Zhao; LIU Xueliang; BAI Yaolong

doi:10.13296/j.1001-1609.hva.2025.09.002

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Optimization Design of Vacuum Interrupter Structure Based on Extreme Learning Machine and MOGWO

Research & Analysis | 更新时间：2025-09-05

- Optimization Design of Vacuum Interrupter Structure Based on Extreme Learning Machine and MOGWO
- High Voltage Apparatus Vol. 61, Issue 9, Pages: 8-17(2025)
- 作者机构：
  
  1.三峡大学电气与新能源学院，湖北　宜昌　443002
  2.华中科技大学电气与电子工程学院强电磁工程与新技术国家重点实验室，武汉　430074
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China(52177143)
- DOI：10.13296/j.1001-1609.hva.2025.09.002
  CLC：
- Received：07 January 2025，
  
  Revised：15 March 2025，
  
  Published：16 September 2025
- 稿件说明：
移动端阅览
DING Can, WANG Zhoulin, YUAN Zhao, et al. Optimization Design of Vacuum Interrupter Structure Based on Extreme Learning Machine and MOGWO[J]. High voltage apparatus, 2025, 61(9): 8-17.
DOI：

DING Can, WANG Zhoulin, YUAN Zhao, et al. Optimization Design of Vacuum Interrupter Structure Based on Extreme Learning Machine and MOGWO[J]. High voltage apparatus, 2025, 61(9): 8-17. DOI： 10.13296/j.1001-1609.hva.2025.09.002.

摘要

灭弧室作为真空断路器的核心，其电场分布与内部结构设计紧密相关。文中首先研究均压屏蔽罩、悬浮屏蔽罩结构、屏蔽罩与触头的间距以及触头形状变化对灭弧室电场分布的影响，发现场强在悬浮屏蔽罩端部、触头端部及悬浮屏蔽罩与触头之间的区域出现集中现象。为进一步改善灭弧室电场分布情况，文中提出了一种基于极限学习机（ELM）与灰狼算法（MOGWO）相结合的方法对灭弧室重要结构参数进行优化设计，建立了以悬浮屏蔽罩的斜坡上方长度

、端部卷边半径

、卷边角度

、屏蔽罩与触头表面距离

和触头端部曲率半径

为输入，电场强度最大值、动静触头两侧子区域电场均匀度分别为输出的ELM模型，通过MOGWO算法对真空灭弧室进行结构优化。优化结果表明：真空灭弧室的结构参数

为79.9 mm、

为3.5 mm、

为220.0°、

为11.13 mm和

为3.0 mm时，灭弧室电场分布情况明显改善。

Abstract

Interrupter is the core of vacuum circuit breaker and its electric field distribution is closely related to the internal structure design. In this paper

the influence of the grading shield

the structure of the suspension shield

the distance between the shield and the contact as well as the shape of the contact on the electric field distribution of the interrupter is studied firstly

finding that the electric field strength is concentrated at the end of the suspension shield

the end of the contact and the a

rea between the suspension shield and the contact. In order to improve the electric field distribution of the interrupter further

a method based on the combination of extreme learning machine (ELM) and gray wolf algorithm (MOGWO) is proposed in this paper to optimize the design of important structural parameters of the interrupter

and set up a ELM model with the length

above the slope of the suspension shield

the curling radius

of the end

the curling angle

the distance

between the shield and the contact surface

and the curvature radius

of the contact end as the input

and the maximum electric field strength and the electric field uniformity of the sub-regions on both sides of the stationary and moving contacts as the output respectively

and the structure of the vacuum interrupter is optimized by the MOGWO algorithm. The optimization results show that when the structural parameters of the vacuum interrupter

is 79.9 mm

is 3.5 mm

is 220.0°

is 11.13 mm and

is 3.0 mm

the electric field distribution of the vacuum interrupter is significantly improved.

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