基于电磁-结构场的油浸式变压器振动特性及信号反演研究
作者:
作者单位:

(1. 广东省电网有限责任公司潮州供电局,广东 潮州 521000;2. 三峡大学电气与新能源学院,湖北 宜昌 443000)

通讯作者:

袁发庭(1988—),男,博士,副教授,博士生导师,主要从事高压电抗器设计与电工装备多物理场分析等方面的研究;E?mail:yuanfatinghss@163.com

中图分类号:

TM411

基金项目:

南方电网公司科技项目(035100KC23070004(GDKJXM20230768))


Vibration characteristics and signal inversion of oil‑immersed transformer based on electromagnetic‑structural field
Author:
Affiliation:

(1. Chaozhou Power Supply Bureau, Guangdong Power Grid Co., Ltd., Chaozhou 521000, China; 2. College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443000, China)

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    摘要:

    油浸式变压器作为电力系统中变电部分的关键设备,其运行状态直接影响电网的安全与稳定。先基于有限元仿真软件COMSOL,建立10 kV/400 V的油浸式变压器电磁-结构多物理场耦合计算模型,分析加与未加夹件对铁芯振动位移影响,并在此基础上,分析铁芯、绕组和油箱壁上振动特性,提取铁芯、绕组和油箱壁面振动加速度信号;再利用Kendall与Spearman相关系数,对铁芯、绕组与油箱壁振动信号进行相关性计算,得到了最佳振动测量位置;然后,基于Copula函数,建立利用油箱外壁信号反映内部铁芯和绕组运行状态的油浸式变压器振动反演模型,获得在不同负载条件下铁芯和绕组振动加速度反演结果;最后,利用绝对系数R2和平均绝对误差对模型准确性进行判别。研究结果表明,该反演模型准确度在94%以上。该研究可为变压器振动故障检测提供借鉴。

    Abstract:

    As critical equipment in the power system, the operation status of oil-immersed transformers directly affects the safety and stability of the power grid. Based on COMSOL, a finite element simulation software, a 10kV/400V oil-immersed transformer electromagnetic–structural multiphysics coupling calculation model is established to analyze the effect of added/unadded clamping devices on the core vibration displacement. On this basis, the vibration characteristics of the core, windings, and tank wall are analyzed, and their corresponding vibration acceleration signals are extracted. Subsequently, the Kendall and Spearman correlation coefficients are employed to calculate the correlation among the vibration signals of the core, windings, and tank wall, obtaining the optimal position for measuring vibration. Based on the Copula function, a vibration inversion model for the oil-immersed transformer is developed, which utilizes the external tank wall signals to reflect the operation status of the internal core and windings. The inversion results for the core and winding vibration acceleration are obtained under different load conditions. Finally, the model’s accuracy is evaluated using the coefficient of determination (R2) and mean absolute error. The results show that the inverse model achieves an accuracy rate of above 94%. The findings provide a reference for transformer vibration fault detection.

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黄 丰,郭 淳,邱冰兵,等.基于电磁-结构场的油浸式变压器振动特性及信号反演研究[J].电力科学与技术学报,2025,40(2):276-286.
HUANG Feng, GUO Chun, QIU Bingbing, et al. Vibration characteristics and signal inversion of oil‑immersed transformer based on electromagnetic‑structural field[J]. Journal of Electric Power Science and Technology,2025,40(2):276-286.

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  • 在线发布日期: 2025-06-06
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