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基于时频分析法的开关柜避雷器泄漏电流检测
作者姓名:黄华  谢静媛  汪正玲  申葳  张伟鹏
作者单位:国网福建省电力有限公司龙岩供电公司, 福建 龙岩 364000
基金项目:国网福建省电力有限公司科技项目“开关柜内避雷器缺陷在线监测与识别技术研究”(52136021004C)
摘    要:  目的  在电力系统中,开关柜避雷器承担着抑制瞬态过电压和泄放脉冲大电流的重要作用,对于维持其正常稳定运行具有重大意义。  方法  为了有效抑制噪声对泄漏电流信号检测的干扰,提出了一种基于自相关系数与卡方检验优化的时频分析方法。首先通过电流传感器和分流器两种测量结果进行分析,然后利用基于自相关系数与卡方检验优化的小波变换消除信号中的噪声干扰,实现最优分解尺寸的确定,从而更好地适应小信噪比场合。  结果  通过软件平台分析得出在分流器的测量基础上利用优化后的小波算法去噪的抗干扰能力更强,波形质量更好。最后研制了一款泄漏电流在线检测装置,对提出的泄漏电流检测模型加以验证。  结论  实验结果表明该装置能够较好地实现避雷器泄漏电流的实时检测。

关 键 词:泄漏电流检测    噪声干扰    优化小波    时频分析法    抗干扰能力
收稿时间:2021-12-22

Leakage Current Detection for Surge Arrester in Switchgear Based on Time-Frequency Analysis Method
Affiliation:Longyan Electric Power Supply Company, State Grid Fujian Electric Power Co., Ltd., Longyan 364000, Fujian, China
Abstract:  Introduction   In the power system, the surge arrester in switchgear plays an important role in suppressing transient overvoltage and discharging large pulse currents, which is of great significance to maintain its normal and stable operation.   Method  A time-frequency analysis method based on the autocorrelation coefficient and the Chi-squared test optimization was proposed in the research to effectively suppress the noise interference on leakage current signal detection. Firstly, the measurement results of the current sensor and the shunt were analyzed. Then, the wavelet transform based on the autocorrelation coefficient and the Chi-squared test optimization was used to eliminate the noise interference in the signal in order to determine the optimal decomposition size to better suit the occasion of small signal-noise ratio.   Result  Based on the analysis in the software platform, it is concluded that the optimized wavelet algorithm denoising has stronger anti-interference capability and better waveform quality on the basis of measurement of the shunt. Finally, an online leakage current detection device is developed to verify the leakage current detection model proposed in the research.   Conclusion  The experimental results show that the device can realize the real-time detection of leakage current of the surge arresters.
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