张维凯, 孙强, 葛延鹏, 甲宗庆, 谭文, 高文胜. 基于NSGA-Ⅱ算法的GIS隔离开关盆式绝缘子电场分布和机械性能综合优化[J]. 高电压技术, 2025, 51(1): 336-345. DOI: 10.13336/j.1003-6520.hve.20231810
引用本文: 张维凯, 孙强, 葛延鹏, 甲宗庆, 谭文, 高文胜. 基于NSGA-Ⅱ算法的GIS隔离开关盆式绝缘子电场分布和机械性能综合优化[J]. 高电压技术, 2025, 51(1): 336-345. DOI: 10.13336/j.1003-6520.hve.20231810
ZHANG Weikai, SUN Qiang, GE Yanpeng, JIA Zongqing, TAN Wen, GAO Wensheng. Integrated Optimization of Electrical Field Distribution and Mechanical Performance of Basin-type Insulator in GIS Disconnector Based on NSGA-Ⅱ[J]. High Voltage Engineering, 2025, 51(1): 336-345. DOI: 10.13336/j.1003-6520.hve.20231810
Citation: ZHANG Weikai, SUN Qiang, GE Yanpeng, JIA Zongqing, TAN Wen, GAO Wensheng. Integrated Optimization of Electrical Field Distribution and Mechanical Performance of Basin-type Insulator in GIS Disconnector Based on NSGA-Ⅱ[J]. High Voltage Engineering, 2025, 51(1): 336-345. DOI: 10.13336/j.1003-6520.hve.20231810

基于NSGA-Ⅱ算法的GIS隔离开关盆式绝缘子电场分布和机械性能综合优化

Integrated Optimization of Electrical Field Distribution and Mechanical Performance of Basin-type Insulator in GIS Disconnector Based on NSGA-Ⅱ

  • 摘要: 为提高高压GIS隔离开关内盆式绝缘子的绝缘性能,对盆式绝缘子的结构设计进行了优化。首先基于有限元仿真分析了原结构下盆式绝缘子周围的电场分布情况和盆体的机械性能,基于贝塞尔曲线下的伯恩斯坦多项式对盆式绝缘子的凹面和凸面形状进行了参数化重构,进而构建了考虑机械强度和电场分布的双目标优化模型,并基于非支配排序多目标遗传算法(NSGA-Ⅱ)实现了盆式绝缘子的结构优化,得到了盆式绝缘子在不同机械强度指标下的最优电场分布及对应结构。最终实现优化后的盆式绝缘子凹面和凸面的沿面场强最大值和盆体的最大应力值均在许用值内,凹面和凸面的最大场强相比于原结构分别下降11.63%和12.87%,此时机械性能裕度为1.11,相比于原结构仅下降了2.93%。该优化方法可在满足绝缘子机械强度的基础上有效改善绝缘子表面电场分布,对隔离开关内盆式绝缘子的结构优化设计具有重要意义。

     

    Abstract: In order to improve the insulation performance of basin-type insulator inside 550 kV GIS, this article optimizes the structure of the insulator. Firstly, based on finite element simulation, the electric field distribution and the mechanical performance of the original insulator structure are analyzed. Then, based on the Bernstein polynomial under the Bessel curve, the concave and convex shapes of the insulator are parameterized and reconstructed. Subsequently, a dual objective optimization model considering mechanical strength and electric field distribution is constructed, and the structure optimization of the insulator is achieved based on the non-dominated sorting multi-objective genetic algorithm (NSGA-Ⅱ). The optimal electric field distribution structure of the insulator under different mechanical strengths is obtained. The maximum field strength along the concave and convex surfaces of the optimized basin-type insulator and the maximum stress value of the body are both within the allowable values, namely, the maximum field strengths along the concave and convex surfaces are decreased by 11.63% and 12.87% compared to those of the original structure, and the mechanical performance margin is 1.11, which is decreased by 2.93%. This optimization method can be adopted to effectively improve the surface electric field distribution of insulators while meeting the mechanical strength requirements, which is of great significance for the structural design of basin-type insulators in GIS disconnectors.

     

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