Electrical Performance Optimi-ation for Tri-Post Insulator on 1 100 kV Gas-Insulated Metal-Enclosed Transmission Line

doi:10.7652/xjtuxb202007020

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Electrical Performance Optimi-ation for Tri-Post Insulator on 1 100 kV Gas-Insulated Metal-Enclosed Transmission Line

更新时间：2025-07-09

- Electrical Performance Optimi-ation for Tri-Post Insulator on 1 100 kV Gas-Insulated Metal-Enclosed Transmission Line
- Vol. 54, Issue 7, Pages: 168-179(2020)
- 作者机构：
  
  西安交通大学电力设备电气绝缘国家重点实验室,西安,710049
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb202007020
  CLC： TM216
- Online First：10 July 2020，
  
  Published：2020
- 稿件说明：
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Electrical Performance Optimi-ation for Tri-Post Insulator on 1 100 kV Gas-Insulated Metal-Enclosed Transmission Line[J]. 2020, 54(7): 168-179.
DOI：

Electrical Performance Optimi-ation for Tri-Post Insulator on 1 100 kV Gas-Insulated Metal-Enclosed Transmission Line[J]. 2020, 54(7): 168-179. DOI： 10.7652/xjtuxb202007020.

摘要

为优化交流1 100 kV气体绝缘输电线路中三支柱绝缘子的电气性能

提出了一种基于遗传算法的结构参数优化方法。建立三支柱绝缘子电场和应力场仿真模型

对绝缘子电气性能和机械性能进行校验

发现最大表面场强位于支柱和中心圆柱的连接处

为12.13 MV·m

-1

大于12 MV·m

-1

的许用值

可能引发闪络

有必要进行电气性能优化。建立三支柱绝缘子参数化模型

仿真研究各结构参数对三支柱绝缘子电气性能的影响

发现各结构参数的增大对绝缘子电气性能有不同程度的优化

但也会造成绝缘子体积的增加。在满足机械性能需求和绝缘子体积保持不变的条件下

以提高电气性能为目标

提出基于遗传算法的三支柱绝缘子结构参数优化方案

并且为减小计算量

提出该方案的简化方法。结果表明:在相同电压下

优化后的三支柱绝缘子的最大表面场强降低为11.36 MV·m

-1

绝缘裕度提高了6.3%

优化效果较好。所提方法兼顾了机械性能和绝缘子体积

具有较高的实用性和计算效率。

Abstract

For optimi-ing electrical performance of tri-post insulator on AC 1 100 kV GIL

structural parameter optimi-ation with genetic algorithm is carried out. Electric field and stress field simulation models of tri-post insulator are established. Checking the electrical and mechanical performances of the insulator

it is found that the maximum surface electrical field intensity is 12.13 MV-m

-1

at the connection between the pillar and the central cylinder

which is higher than the allowable value of 12 MV-m

-1

. It is thus necessary to optimi-e the electrical performance. A parametric model of tri-post i

nsulator is constructed and used to analy-e the influence of structural parameters on electrical performance. It is found that the increase of each structure parameter can optimi-e the electrical performance

but this also leads to the increase of insulator volume. To improve the electrical performance

a genetic algorithm-based optimi-ation scheme for the structure para

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Keywords

references

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