易哲嫄, 孙凯, 刘增杨. 基于改进热分析和变换器协同设计的大功率高频变压器高速全局优化方法[J]. 中国电机工程学报, 2025, 45(1): 228-238. DOI: 10.13334/j.0258-8013.pcsee.241975
引用本文: 易哲嫄, 孙凯, 刘增杨. 基于改进热分析和变换器协同设计的大功率高频变压器高速全局优化方法[J]. 中国电机工程学报, 2025, 45(1): 228-238. DOI: 10.13334/j.0258-8013.pcsee.241975
YI Zheyuan, SUN Kai, LIU Zengyang. A High Speed Global Optimization Method for High-power High-frequency Transformers Based on Improved Thermal Analysis and Co-design With Converter[J]. Proceedings of the CSEE, 2025, 45(1): 228-238. DOI: 10.13334/j.0258-8013.pcsee.241975
Citation: YI Zheyuan, SUN Kai, LIU Zengyang. A High Speed Global Optimization Method for High-power High-frequency Transformers Based on Improved Thermal Analysis and Co-design With Converter[J]. Proceedings of the CSEE, 2025, 45(1): 228-238. DOI: 10.13334/j.0258-8013.pcsee.241975

基于改进热分析和变换器协同设计的大功率高频变压器高速全局优化方法

A High Speed Global Optimization Method for High-power High-frequency Transformers Based on Improved Thermal Analysis and Co-design With Converter

  • 摘要: 大功率高频变压器是电力电子变压器中的核心部件,其优化设计的全局最优性和计算速度都是关键问题。文中提出基于改进热分析和变换器协同设计的大功率高频变压器高速全局优化方法。针对优化中耗时占比很高的热分析,提出基于换热-热传导两步仿真的改进热分析方法,保证热分析精度的同时,提升热分析计算速度。仿真结果表明,提出的热分析方法与传统方法准确度相似,而计算速度大幅提升。此外,优化过程中,将变换器电路参数与变压器参数共同考虑,引入更多优化变量,从而形成全局优化模型,提升设计方案的优异性;并采用改进热分析方法和遗传算法以提升计算速度,保证了全局优化模型的可计算性。综合以上措施,最终形成系统的大功率高频变压器高速全局优化设计方法。通过一个具体的案例设计和实验结果验证提出的优化方法的有效性。

     

    Abstract: High-power high-frequency transformers are key components in power electronic transformers, and the global optimality and computational speed of their optimization design are key issues. This paper proposes a high-speed global optimization method based on improved thermal analysis and co-design with converters for high-power high-frequency transformers. For thermal analysis occupying a high proportion of time consumption in optimization, an improved thermal analysis method is proposed based on heat dissipation- conduction two-step simulation, which not only ensures the accuracy of thermal analysis, but also improves the computational speed. Simulation results validate the accuracy and the effectiveness of the proposed thermal analysis method. With the aim of improving the performance of the design scheme, during the optimization process, the converter circuit parameters and the transformer inductance parameters are considered together, and more optimization variables are introduced, so that global optimization model is formed. Besides, the improved thermal analysis method and the genetic algorithm are adopted to increase the computational speed and ensure the computability of the global optimization model. Integrating the above approaches, a systematic high-speed global optimization design process for high-power high-frequency transformers is formed. A specific case design and experimental results validate the effectiveness of the proposed optimization method.

     

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