Because DC conductivities of oil-paper materials can be easily affected by electric field and temperature, the electrical properties under electro-thermal coupling of oil-paper materials should be considered when optimising the insulation structure of valve-side winding of the converter transformer. Based on the finite element multi-physical field coupling simulation, the multi-objective optimisation of main insulation structure of valve-side winding is carried out. In view of the high time consuming of multi-physical field calculation and the actual needs of an insulation structure optimisation, the Kriging method and technique for order preference by similarity to the ideal solution (TOPSIS) method are introduced, and combines them with NSGA-II to obtain a joint algorithm that can be used for the optimisation of insulation structure of the converter transformer. By using the joint algorithm of multi-objective optimisation, the insulation structure configuration scheme of valve-side winding is optimised. It can be seen from the experiment result that, on the one hand, the joint algorithm adopted can obtain the insulation structure configuration scheme that meets the design requirements. On the other hand, when facing the configuration scheme optimisation under multi-field coupling, the computational time required by this method is only 0.15 % of that required by original genetic algorithm.

中文翻译：

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考虑多场耦合的特高压换流变压器阀侧绕组主绝缘结构配置方案多目标优化方法分析

由于油纸材料的直流电导率易受电场和温度的影响，因此在优化换流变压器阀侧绕组绝缘结构时，应考虑油纸材料电热耦合下的电性能。基于有限元多物理场耦合仿真，对阀侧绕组主绝缘结构进行多目标优化。针对多物理场计算耗时长和绝缘结构优化的实际需要，引入了克里格法和理想解相似排序法（TOPSIS）技术，并将其与NSGA相结合。 II得到可用于换流变压器绝缘结构优化的联合算法。采用多目标优化联合算法，对阀侧绕组绝缘结构配置方案进行优化。从实验结果可以看出，一方面，采用的联合算法可以获得满足设计要求的绝缘结构配置方案。另一方面，在面对多场耦合下的配置方案优化时，该方法所需的计算时间仅为原始遗传算法所需计算时间的0.15%。