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作 者:梅杨[1] 朱妮斯 许策 MEI Yang;ZHU Nisi;XU Ce(Inverter Technology Engineering Research Center in Beijing,North China University of Technology,Beijing 100144,China)
机构地区:[1]北京市变频技术工程技术研究中心,北方工业大学,北京100144
出 处:《电工电能新技术》2023年第11期11-20,共10页Advanced Technology of Electrical Engineering and Energy
基 金:北京市自然科学基金项目(JL23001、 3222051)。
摘 要:针对高频链AC-DC矩阵变换器中高频变压器绕组损耗大的问题,提出了一种高频变压器绕组优化设计方法,该方法首先建立了漏感模型和绕组损耗模型,并基于模型合理选择关键参数作为优化参数,应用有约束的多目标遗传优化算法对关键参数进行寻优,最后得到一套高频变压器绕组的优化设计方案。仿真和实验结果表明,该方法与传统面积乘积法(AP)法相比,绕组损耗可降低10%以上,变换器整机效率最高提升了1.07%,由此证明,该变压器绕组优化设计方法可以通过降低高频变压器的绕组损耗,达到降低高频链AC-DC矩阵变换器损耗、提升变换器整体效率的目的。For the problem of high frequency transformer winding loss,this paper proposes a method for optimization of high frequency transformer winding.Firstly,the winding loss model and the leakage inductance model are established,and based on the models the key parameters are chose as optimization parameters and the key parameters are optimized by application of constrained multi objective genetic optimization algorithm.Finally,an optimal design scheme of high frequency transformer windings is obtained.Simulation and experimental results show that this method is compared with the traditional method of AP,winding loss can reduce more than 10%,the converter machine efficiency up to 1.07%increased.It is proved that the proposed method can reduce the winding loss of the high-frequency transformer,reduce the loss of the high frequency AC-DC matrix converter,and improve the overall efficiency of the converter.
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