基于改进小波阈值的GIS局放监测抗干扰研究  

GIS Local Discharge Monitoring Based on Improved Wavelet Threshold Antiinterference Research

作　　者：许星 赵巧娥[1] 吕高[1] 刘伟[1] XU Xing;ZHAO Qiao-e;LV Gao;LIU Wei(College of Electric Power and Architecture,Shanxi University,Taiyuan 030013,China)

机构地区：[1]山西大学电力与建筑学院,太原030013

出　　处：《自动化与仪表》2022年第2期7-10,17,共5页Automation & Instrumentation

摘　　要：在气体绝缘组合电气设备(GIS)运行的过程中,需要对GIS的各个物理量进行智能监测,从而来保证GIS的安全运行。其中局部放电积累到一定程度会对设备绝缘造成损害,同时,局放信号易受噪声干扰,会使监测的局放信号产生畸变,对监测设备的准确性带来不良影响。该文针对GIS局部放电脉冲信号易受白噪声干扰的问题,在已有的小波阈值去噪基础上,改进了传统硬阈值去噪的不连续性,克服了软阈值去噪的平滑问题。通过仿真来验证该方法去除现场环境的噪声干扰的有效性,为GIS内部局放信号的去噪方法提供参考。In the process of gas insulated combined electrical equipment(GIS) operation,it is necessary to carry out intelligent monitoring of GIS physical quantity,so as to ensure the GIS safe operation.The partial discharge accumulated to a certain extent will cause damage to the insulation of the equipment. At the same time,the local discharge signal is easily interfered by noise,which will make the local discharge signal distortion,and bring bad influence to the accuracy of the monitoring equipment.Aiming at the problem that GIS partial discharge pulse signal is easily disturbed by white noise,this paper improves the discontinuity of traditional hard threshold denoising based on the existing wavelet threshold denoising,and overcomes the smooth problem of soft threshold denoising.The effectiveness of the proposed method is verified by simulation,which provides a reference for the denoising method of GIS internal local signal.

关 键 词：局部放电 小波去噪 改进阈值 

分 类 号：TM835[电气工程—高电压与绝缘技术]