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Research on Vibration Detection Method for Partial Discharge Faults in GIL
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摘要: 由于GIL在生产制作及运输的过程中，内部会产生部分缺陷，导致运行时局部放电故障，并伴随一定的振动和声音信号异常。当GIL出现故障时，不仅会对设备本身产生严重的损坏，还会对电力系统的稳定运行带来威胁。研究了一种基于振动信号进行GIL放电性故障的检测方法，该方法能够较精确地检测GIL放电性故障具体单元及部位。分析了GIL局部放电故障状态时振动信号的特征，通过对模拟实验和现场试验中采集的信号进行处理与识别，优化了识别方法，能够实现对GIL是否发生了局部放电故障进行准确有效的判断。Abstract: During the production and transportation of GIL, internal defects may occur, leading to localized partial discharge faults during operation, accompanied by abnormal vibration and sound signals. When GIL malfunctions, it not only causes serious damage to the equipment itself, but also poses a threat to the stable operation of the power system. This paper studies a method for detecting partial discharge faults in GIL based on vibration signals, which can accurately identify specific units and locations of the faults. The paper analyzes the characteristics of vibration signals in GIL localized partial discharge fault states. By processing and identifying signals collected from simulated experiments and on-site tests, the identification method has been optimized, enabling accurate and effective determination of whether GIL has experienced localized partial discharge faults.
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Key words:
- metrology /
- GIL /
- discharge faults /
- vibration detection method /
- vibration signals
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图 1 GIL管道正常运行时外壳的振动信号
Figure 1. Vibration signals of the casing during normal operation of the GIL pipeline
图 2 GIL管道出现局部放电故障时外壳的振动信号
Figure 2. Vibration signals of the casing when partial discharge fault occurs in the GIL pipeline
图 3 模拟实验中无放电时振动信号频谱图
Figure 3. Frequency spectrum of vibration signals of the pipe wall in the absence of discharge in simulated experiments
图 4 模拟实验中有放电时振动信号频谱图
Figure 4. Frequency spectrum of vibration signals in simulated experiments with discharge
图 5 GIL正常运行时的振动信号频谱图
Figure 5. Frequency spectrum of vibration signals during normal operation of GIL
图 6 GIL出现局部放电故障时的频谱图
Figure 6. Frequency spectrum of vibration signals when partial discharge fault occurs in GIL
图 7 两种状态下的振动信号特征值$ {\mathit{K}}_{2}' $分布情况
Figure 7. Distribution of the characteristic value $ {\mathit{K}}_{2}' $ of the vibration signals in both states
表 1 模拟实验振动信号低频与高频能量占比
Table 1. Percentage of low-frequency and high-frequency energy of vibration signals in simulated experiments
状态 $ {K}_{1} $ $ {K}_{2} $ 无放电 99.9969% 0.0031% 有放电 99.7178% 0.2822% 
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表 2 两种状态下的振动信号在低频与高频的能量占比
Table 2. Percentage of energy in low-frequency and high-frequency of vibration signals in both states
状态 组号 $ {K}_{1} $ $ {K}_{2} $ 正常运行 1 99.6295% 0.3705% 2 99.5965% 0.4035% 3 99.4472% 0.5528% 4 99.4681% 0.5319% 5 99.6916% 0.3084% 局部放电故障 1 31.9184% 68.0816% 2 39.1837% 60.8163% 3 98.5464% 1.4536% 4 97.9685% 2.0315% 5 6.7474% 93.2526%
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表 3 两种状态下的振动信号在低频与高频的能量占比
Table 3. Percentage of energy in low-frequency and high-frequency of vibration signals in both states
状态 组号 $ {K}_{1}' $ $ {K}_{2}\text{'} $ 正常运行 1 99.6226% 0.3774% 2 99.5873% 0.4127% 3 99.2913% 0.7087% 4 99.2943% 0.7057% 5 99.4507% 0.5493% 局部放电故障 1 4.1836% 95.8164% 2 2.2339% 97.7661% 3 0.9375% 99.0625% 4 1.8624% 98.1376% 5 1.5245% 98.4755%
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表 4 使用优化后方法计算的模拟实验振动信号低频与高频的能量占比
Table 4. Percentage of low-frequency and high-frequency energy of vibration signals in simulated experiments calculated using the optimized method
状态 $ {K}_{1}'$ $ {K}_{2}' $ 无放电 99.5700% 0.4300% 有放电 56.9405% 43.0595%
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