基于 VSCSA 的 500 kV 带氧化锌微电阻器层的双级环悬浮复合绝缘子优化设计

IF 1.5 Q2 ENGINEERING, MULTIDISCIPLINARY
Jun Li and Hong Xu
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引用次数: 0

摘要

使用微晶体管层是复合绝缘子的一种电场控制方法。它可以减小电场应力,防止复合绝缘子表面放电的扩展和随后电弧发展引起的完全闪络。为了提高复合绝缘子的性能,本文提出了一种带有氧化锌微电阻器层的 500 kV 双分级环形悬式复合绝缘子结构,并采用变步乌鸦搜索算法(VSCSA)对其进行了优化。利用 COMSOL 建立了二维轴对称仿真模型,然后通过 COMSOL 和 MATLAB 的联合仿真,利用 VSCSA 对绝缘子、分级环和微电阻的几何尺寸进行了优化。研究了优化前后复合绝缘子在清洁和均匀污染条件下的电场。结果表明,优化设计可降低复合绝缘子在清洁和均匀污染条件下的电场强度。研究还证明,在双级环悬浮复合绝缘体中注入氧化锌微电阻层可以提高绝缘体的性能。该研究为高压复合绝缘子的设计和优化提供了一种新方法,具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization design of 500 kV double grading ring suspension composite insulator with ZnO microvaristor layers based on VSCSA
The use of microvaristor layers is an electric field control method for composite insulators. It can reduce the electric field stresses to prevent the extension of the composite insulator surface discharges and the complete flashover caused by the subsequent development of arcing. In order to improve the performance of composite insulators, a 500 kV double grading ring suspension composite insulator structure with ZnO microvaristor layers is proposed and optimized by Variable Step Crow Search Algorithm (VSCSA). A 2D axisymmetric simulation model is constructed by COMSOL, and then VSCSA is used to optimize the geometric dimensions of insulators, grading rings and microvaristors through the joint simulation of COMSOL and MATLAB. The electric field of composite insulators under clean and uniform contaminated conditions before and after optimization is studied. The results show that the optimized design can reduce the electric field strength of composite insulators under clean and uniform contaminated conditions. It is also proved that the injection of ZnO microvaristor layers into the double grading ring suspension composite insulator can improve the performance of the insulator. The research provides a new method for the design and optimization of high voltage composite insulators, which is of great significance.
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来源期刊
Engineering Research Express
Engineering Research Express Engineering-Engineering (all)
CiteScore
2.20
自引率
5.90%
发文量
192
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