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变压器绕组不同预紧力下声纹与振动特性研究

Characteristic of Noise and Vibration in Transformers under Different Preload Forces

  • 摘要: 变压器是电力系统电压变换与电能传输的核心设备,其安全稳定运行直接决定电网供电质量与可靠性。作为变压器电磁转换核心部件,绕组故障高发且危害大,其结构是否完整直接影响变压器运行性能,也是制约设备寿命与电网安全的主要隐患。为深入研究变压器绕组松动时的声振特性,本文提出一种基于多物理场耦合仿真的变压器绕组声振特性研究方法。根据试验模型,在仿真软件中建立变压器绕组模型,通过改变绕组上下端部预紧力大小模拟绕组松动程度,获得不同预紧力下绕组的振动信号及周围环境的声纹信号。正常运行时,绕组振动加速度主频为100Hz,周围环境声音信号主频为100Hz、200Hz。随着预紧力减小,绕组振动加速度主频由100Hz升至150Hz,声纹信号100 Hz分量占比增大,高频段分量频率下降5~10Hz。最后,通过实体变压器试验,对比实测与仿真数据,验证了仿真方法的有效性。该研究明确了绕组松动程度与声纹信号、振动信号的关联,为变压器绕组状态评估与预测提供依据。

     

    Abstract: Transformer is the core equipment of voltage conversion and power transmission in power system. Its safe and stable operation directly determines the quality and reliability of power supply. As the core component of electromagnetic conversion, winding faults are high and harmful. The integrity of its structure directly affects the operation performance of the transformer, which is the main hidden danger restricting the service life of the equipment and the safety of the power grid. In order to study the vibro-acoustic characteristics of transformer winding when it is loose, this paper proposes a research method of vibro-acoustic characteristics of transformer winding based on multi-physical field coupling simulation. According to the test model, the transformer winding model is established in the simulation software. By changing the pre-tightening force of the upper and lower ends of the winding to simulate the degree of winding looseness, the vibration signal of the winding under different pre-tightening forces and the voiceprint signal of the surrounding environment are obtained. During normal operation, the main frequency of winding vibration acceleration is 100 Hz, and the main frequency of ambient sound signal is 100 Hz and 200 Hz. With the decrease of preload, the main frequency of winding vibration acceleration increases from 100 Hz to 150 Hz, the proportion of 100 Hz component of voiceprint signal increases, and the frequency of high frequency component decreases by 5 ~ 10 Hz. Finally, the effectiveness of the simulation method is verified by comparing the measured and simulated data through the real transformer test. This study clarifies the correlation between the degree of winding looseness and voiceprint signal and vibration signal, and provides a basis for the evaluation and prediction of transformer winding state.

     

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