首页|期刊导航|电工技术学报|基于贝叶斯优化与CRITIC方法的中压高频变压器绝缘结构优化设计

基于贝叶斯优化与CRITIC方法的中压高频变压器绝缘结构优化设计OA

Optimization Design of Insulation Structure of Medium Voltage and High Frequency Transformer Based on Bayesian Optimization and CRITIC Method

中文摘要英文摘要

高频变压器体积小、功率密度高、绝缘结构紧凑,绝缘问题显著且绝缘设计裕度十分有限.该文在分析绝缘材料特性与磁心、绕组结构特性的基础上,设计一种附加内含气隙绝缘封装的三明治变压器结构,在减小变压器最大电场强度基础上将其分布限制在绝缘材料内部,有效提升高频变压器的绝缘耐压水平.基于镜像电荷法快速准确地提取变压器二维磁心窗口内的最大电场强度,并以此来约束单一介质处的相关绝缘距离.提出一种融合贝叶斯优化方法与 CRITIC客观赋权法的混合决策框架来权衡变压器最大电场强度和体积.该方法通过贝叶斯优化算法构建高斯过程代理模型与改进的期望提升采集函数,同时集成 CRITIC 法的指标间相关性分析与信息熵赋权机制,构建基于数据驱动特征的多准则权重分配模型,最终在安全裕度下实现电场强度数值降低与体积缩减的协同优化.研制了一台高频变压器样机,进行冲击电压、短时耐压和局部放电试验来验证所设计高频变压器绝缘结构的可靠性.

High-frequency transformer(HFT)plays an important role in power conversion devices such as power electronic converters,facilitating voltage conversion and isolation.The corresponding optimized design is a crucial aspect in achieving high power density,high efficiency,and high reliability.HFT is characterized by compact size,high power density,and constrained insulation design margins,faces significant insulation challenges.This paper proposes an insulation structure and corresponding insulation design methodologies for medium-voltage,high-frequency transformer used in isolated DC-DC converters. A sandwich-type transformer structure is designed that employs an insulation package incorporating an internal air gap.By inserting an air gap between the insulating bobbin and the epoxy potting resin,the peak electric-field strength is reduced while heat dissipation is improved.This structure transfers the region of maximum field into the bulk insulating material,thereby protecting the windings and magnetic cores and mitigating the effects of partial discharge.And it was verified using finite element simulation. A detailed analysis is presented of the fundamentals of the method of the mirror charge for solving two-dimensional electrostatic field problems.The maximum electric field strength in the high-frequency transformer's 2-D domain is extracted using both the finite-element method and the mirror charge method,the discrepancy between the two is within 3%,while the mirror charge delivers roughly a tenfold speedup.Based on this,the mirror charge is employed to compute and constrain the insulation clearances of transformer components embedded in a single dielectric medium. A multi-objective optimization model is constructed using the CRITIC method,which determines the information entropy weight coefficients by calculating the comparative intensity and conflict analysis of the maximum electric field strength and insulator volume dual indicators.Based on this,the Bayesian optimization method is introduced to achieve the collaborative optimization of reducing transformer electric field strength and volume reduction within the constraints of evaluation times by constructing a Gaussian process surrogate model and an improved expected improvement acquisition function.Simulation results show that,compared to conventional optimization schemes,the proposed design reduces the maximum field strength by approximately 18%,and reduces the volume by about 10%compared to conservative schemes. Insulation tests were conducted to verify the insulation performance and reliability of the transformer prototype,including an impulse voltage test at 10 kV,a short-time withstand voltage test at 8 kV,and a partial discharge test at 7.2 kV.All the results met the relevant requirements.

赵志刚;刘永军;陈天缘;张时;张子洁

智能配用电装备与系统全国重点实验室(河北工业大学) 天津 300401||河北省电磁场与电器可靠性重点实验室(河北工业大学) 天津 300401智能配用电装备与系统全国重点实验室(河北工业大学) 天津 300401||河北省电磁场与电器可靠性重点实验室(河北工业大学) 天津 300401智能配用电装备与系统全国重点实验室(河北工业大学) 天津 300401||河北省电磁场与电器可靠性重点实验室(河北工业大学) 天津 300401智能配用电装备与系统全国重点实验室(河北工业大学) 天津 300401||河北省电磁场与电器可靠性重点实验室(河北工业大学) 天津 300401智能配用电装备与系统全国重点实验室(河北工业大学) 天津 300401||河北省电磁场与电器可靠性重点实验室(河北工业大学) 天津 300401

信息技术与安全科学

绝缘结构高频变压器镜像电荷法贝叶斯优化最大电场强度

Insulation structurehigh frequency transformermirror charge methodBayesian optimizationmaximum electric field strength

《电工技术学报》 2026 (7)

2468-2483,16

国家自然科学基金项目(52377008)、河北省燕赵黄金台聚才计划骨干人才项目(HJZD202501)和河北省中央引导地方科技专项(254Z2101G)资助.

10.19595/j.cnki.1000-6753.tces.250568

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