电气工程学报 ›› 2024, Vol. 19 ›› Issue (1): 290-298.doi: 10.11985/2024.01.031

• 电力系统 • 上一篇    下一篇

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基于波束形成的变压器噪声成像技术研究与应用*

袁晶1(), 卢灏1(), 刘领航2(), 王永强2()   

  1. 1.广东电网有限责任公司广州供电局 广州 510000
    2.华北电力大学电力工程系 保定 071003
  • 收稿日期:2023-06-24 修回日期:2023-09-22 出版日期:2024-03-25 发布日期:2024-04-25
  • 作者简介:袁晶,女,1986年生,硕士,工程师。主要研究方向为电力系统及其自动化。E-mail:1456982365@qq.com;
    卢灏,男,1994年生,助理工程师。主要研究方向为电力系统及其自动化。E-mail:522664917@qq.com;
    刘领航,男,1999年生,硕士研究生。主要研究方向为电气设备在线监测与故障诊断。E-mail:2017311435@qq.com;
    王永强,男,1975年生,博士,副教授。主要研究方向为电气设备在线监测与故障诊断等。E-mail:wyq_hd_bd@163.com
  • 基金资助:
    南方电网重点科技资助项目(GZHKJXM20200003)

Research and Application of Transformer Noise Imaging Technology Based on Beamforming

YUAN Jing1(), LU Hao1(), LIU Linghang2(), WANG Yongqiang2()   

  1. 1. Guangzhou Power Supply Bureau of Guangdong Power Grid Co., Ltd., Guangzhou 510000
    2. Department of Electrical Engineering, North China Electric Power University, Baoding 071003
  • Received:2023-06-24 Revised:2023-09-22 Online:2024-03-25 Published:2024-04-25

摘要:

作为变电站中最为昂贵和重要的设备,变压器一直是科研人员的研究重点对象。目前对变压器噪声源识别的相关研究较少,因此结合波束形成技术针对变压器噪声源识别展开研究。首先根据所调研的变压器噪声特性,确定了所关注的噪声频段和所用的声源识别方法,阐述了宽带信号的波达方向估计与波束形成的相关理论,进而整理出了一种基于频域数据的宽带变压器信号定位思路,利用仿真结果证实了所提定位思路的合理性与准确性。最后基于LabVIEW平台搭建了一套变压器噪声源识别系统,并通过对不同情况下实际运行变压器的现场试验,对系统的定位效果进行了测试,其定位误差在2°左右,结果证明噪声源识别思路和搭建的系统平台具有良好的可靠性与可用性。

关键词: 变压器, 波束形成, 空间谱估计, 噪声源识别

Abstract:

As the most expensive and important equipment in substation, transformer has always been the key object of research. At present, there are few researches on the transformer noise source identification. Therefore, this research combines the beamforming technology to carry out the related research on the transformer noise source identification. Firstly, according to the investigated transformer noise characteristics, the concerned noise frequency band and the sound source identification method are determined, the direction of arrival estimation of wideband signal and the related theory of beamforming are expound, and then a wideband transformer signal location idea is sort out based on frequency domain data. The simulation results confirm the rationality and accuracy of this research. Finally, a set of transformer noise source identification system is built based on LabVIEW platform, and the positioning effect of the system is tested through the field tests of the actual operating transformers under different conditions. The results prove that the noise source identification idea and the system platform built have good reliability and availability.

Key words: Transformer, beamforming, spatial spectrum estimation, noise source identification

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