Optimal Design of Transformer Electrostatic Ring Insulation Based on Response Surface Method

被引：0

作者：

Liu G. ^{[1
]}

Liu X. ^{[1
]}

Liu Y. ^{[1
]}

Li L. ^{[2
]}

Sun Y. ^{[3
]}

Lei Y. ^{[4
]}

机构：

[1] Hebei Provincial Key Laboratory of Power Transmission Equipment Security Defense, North China Electric Power University, Baoding

[2] Department of Electric Power Engineering, North China Electric Power University, Baoding

[3] Shandong Power Equipment Co., Ltd., Jinan

[4] Electric Power Research Institute, China Southern Power Grid, Guangzhou

来源：

Gaodianya Jishu/High Voltage Engineering | 2022年 / 48卷 / 10期

关键词：

APDL; insulation margin; response surface method; structural optimization; transformer;

D O I：

10.13336/j.1003-6520.hve.20211219

中图分类号：

学科分类号：

摘要：

Insulation margin is one of the important indexes in transformer design, and the appropriate value of insulation margin can ensure that the main insulation problem will not occur in the operation of transformer. In this paper, the insulation margin is taken as the optimization objective. Firstly, the ANSYS parametric design language (APDL) is used to complete the modeling of a transformer, and the insulation margin coefficient of the transformer is obtained by using the global scanning method. Then, the central composite design(CCD) method is adopted to carry out the tests and the response surface function of the insulation margin coefficient and its related variables is constructed by using the response surface method. Finally, the optimal solution of the function under the coordination of various variables is obtained by using the mathematical programming method. The insulation margin after optimization is 16.53% higher than that before optimization. In order to verify the effectiveness of the response surface method, a genetic algorithm is used to optimize the insulation structure. The results verify the effectiveness of the response surface method. At the same time, compared with the global optimization method, the response surface method improves the optimization efficiency while ensuring the accuracy. This method can provide reference for transformer insulation design. © 2022 Science Press. All rights reserved.

引用

页码：4163 / 4171

页数：8

共 25 条

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