刘黎,尹聪聪,詹江杨,林浩凡,刘云鹏,刘刚
LIU Li,YIN Congcong,ZHAN Jiangyang,LIN Haofan,LIU Yunpeng,LIU Gang

• 1:国网浙江省电力有限公司电力科学研究院
• 2:河北省输变电设备安全防御重点实验室(华北电力大学)
• 3:国网浙江省电力有限公司

摘要(Abstract)：

针对低频变压器铁心尺寸、重量等较传统工频变压器增大的问题，提出了一种35 kV低频变压器的轻量化设计方法，综合考虑变压器损耗、重量和尺寸进行多目标优化。首先，依据国家标准及设计手册给出低频变压器初始结构。然后，选取变压器尺寸、重量与损耗作为优化目标。其次，根据低频变压器特点选取相应的优化变量并给出约束条件。最后，通过遗传算法对低频变压器进行优化设计，并进行对比分析，结果表明，总损耗减少了11.04%，铁心、线圈重量减少了4.36%、6.71%，铁心中心距减少了12.85%。
To Address the issue of increased core size and weight in low-frequency transformers compared to conventional power-frequency transformers, a lightweight design method for a 35 kV low-frequency transformer is proposed. This method involves multi-objective optimization of transformer losses, weight, and dimensions. Firstly, the initial structure of the low-frequency transformer is determined based on national standards and design manuals. Subsequently, transformer size, weight, and losses are selected as optimization objectives. Following this, specific optimization variables are chosen based on the characteristics of low-frequency transformers, and corresponding constraints are defined. Finally, a genetic algorithm is utilized to optimize the low-frequency transformer. A comparative analysis reveals a reduction of 11.04% in total losses, along with a decrease of 4.36% and 6.71% in core and coil weights, respectively, and a 12.85% reduction in core center distance.

关键词(KeyWords)： 低频变压器;多目标优化;遗传算法
low-frequency transformer;multi-objective optimization;genetic algorithm

Abstract:

Keywords:

基金项目(Foundation): 国网浙江省电力有限公司科技项目（5211DS22000D）

作者(Author): 刘黎,尹聪聪,詹江杨,林浩凡,刘云鹏,刘刚
LIU Li,YIN Congcong,ZHAN Jiangyang,LIN Haofan,LIU Yunpeng,LIU Gang

DOI: 10.19585/j.zjdl.202404014

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