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基于迭代计算的介电功能梯度绝缘子电场优化研究OA

Electric Field Optimization of Dielectric Functional Gradient Basin Insulator Based on Iterative Calculation

中文摘要英文摘要

介电功能梯度绝缘子可以在不改变几何结构基础上,优化整体电场分布,提高沿面闪络电压.依据经典电磁场理论,得到梯度绝缘子电场分布特性及优化理论.针对盆式绝缘子,以降低沿面最大场强为优化目标,提出一种基于迭代计算的盆式绝缘子电场优化设计方案.结合电场优化理论及迭代算法流程,通过分析叠层数、介电常数上限及表层厚度等影响因素,对设计方案的电场优化效果进行对比研究.计算结果表明,对比匀质盆式绝缘子,体/表层梯度盆式绝缘子沿面最大场强降幅明显,最高可达34.37%、39.08%,优化效果显著,电场分布均匀性大大提升.

Dielectric gradient insulators can optimize the overall electric field distribution and increase the surface flashover voltage without changing the geometric structure.Based on classical electromagnetic field theory,obtain the electric field distribution characteristics and optimization principle of gradient in-sulators.Aiming at reducing the maximum field strength along the surface of pot insulators,an iterative calculation based electric field optimization design scheme for pot insulators is proposed.Combining the principle of electric field optimization and iterative algorithm process,comparative analysis is conducted on the electric field optimization effect of the design scheme by analyzing factors such as the number of layers,upper limit of dielectric constant,and surface thickness.The simulation results show that com-pared to homogeneous basin insulators,the maximum field strength of the body/surface gradient basin in-sulators decreases significantly along the surface,reaching up to 34.37%and 39.08%respectively.The optimization effect is significant,and the uniformity of electric field distribution is greatly improved.

何柏娜;尉元龙;娄辉;代维汉;张东进;王硕;李祖元;刘晨旭;高磊

山东理工大学电气与电子工程学院,山东淄博 255000山东理工大学电气与电子工程学院,山东淄博 255000山东理工大学电气与电子工程学院,山东淄博 255000山东理工大学电气与电子工程学院,山东淄博 255000山东理工大学电气与电子工程学院,山东淄博 255000山东理工大学电气与电子工程学院,山东淄博 255000山东理工大学电气与电子工程学院,山东淄博 255000山东理工大学电气与电子工程学院,山东淄博 255000山东理工大学电气与电子工程学院,山东淄博 255000

高压气体绝缘设备介电功能绝缘子电场分布迭代算法功能材料梯度优化

high voltage gas insulated equipmentdielectric functionally graded insulationelectric field distributioniterative algorithmfunctional materialsgradient optimization

《电瓷避雷器》 2026 (3)

90-98,9

山东省自然科学基金项目(编号:ZR2021ME057)山东省研究生教育质量提升计划项目(编号:SDYAL2022114).Project supported by the Shandong Provincial Natural Science Foundation(No.ZR2021ME057)Department of Education of Shandong Province under Grant(No.SDYAL2022114).

10.16188/j.isa.1003-8337.2026.03.011

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