Power Transformer's Electrostatic Ring Optimization Based on ANSYS Parametric Design Language and Response Surface Methodology

被引:8
|
作者
Liu, Gang [1 ]
Hou, Danhui [1 ]
Zhao, Xiaojun [1 ]
Yuan, Dongwei [1 ]
Li, Lin [2 ]
Sun, Youliang [3 ]
机构
[1] North China Elect Power Univ, Hebei Prov Key Lab Power Transmiss Equipment Secu, Baoding 071003, Peoples R China
[2] North China Elect Power Univ, State Key Lab Alternate Elect Power Syst Renewabl, Beijing 102206, Peoples R China
[3] Shandong Power Equipment Co Ltd, Jinan 250022, Shandong, Peoples R China
来源
APPLIED SCIENCES-BASEL | 2019年 / 9卷 / 20期
基金
中国国家自然科学基金;
关键词
power transformer; response surface methodology (RSM); ANSYS parametric design language (APDL); electric field analysis; electrostatic ring optimization;
D O I
10.3390/app9204286
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
In this paper, in view of the low efficiency of the traditional finite element method (FEM), which has been widely used in the insulation design of power transformers, the response surface methodology (RSM) is proposed to optimize the insulation structure of a power transformer electrostatic ring. Firstly, the power transformer model was built using the ANSYS parametric design language (APDL) to realize the automatic pre-processing of numerical calculation. Then with the objective of reducing the maximum electric field intensity, the Taguchi method was used to select the parameters that have a greater impact on the maximum electric field intensity, by which the subsequent optimization process could be effectively simplified. The test points were constructed by the central composite design (CCD) and a response surface model was established by the mutual calls of MATLAB and ANSYS. Finally, the variance analysis, diagnostic analysis, and significance test of regression were carried out to obtain the final response surface model. By comparing the result of RSM with that of FEM, we can find that the results obtained by the two methods are consistent and the maximum electric field strength is obviously reduced. The RSM is more systematic and convincing, which improves the optimization efficiency and provides a reliable and fast way for the optimization of power transformers.
引用
收藏
页数:16
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