基于改进小波阈值的GIS局部放电在线监测白噪声干扰抑制研究
|
摘要
进行气体绝缘金属封闭开关设备(GIS)局部放电在线监测时,为解决多态性局部放电脉冲信号受白噪声的干扰问题,文中在现有的小波阈值算法降噪的基础上,构造了任意阶可导的新阈值函数,克服了硬阈值函数的不连续性,改进了软阈值函数存在的恒定偏差问题。通过仿真构建白噪声干扰下的多态性局部放电信号,使用降噪后信号的信噪比及均方误差作为降噪评价指标,分析比较该降噪算法与传统的基于硬阈值与软阈值的小波降噪算法,发现该方法更能有效的抑制噪声干扰。最后通过现场模拟电晕放电模型实验,验证改进阈值算法适合应用到GIS局部放电在线监测系统中。
In order to solve the problem that polymorphic partial discharge pulse signal is interfered by white noise when on-line monitoring partial discharge in gas insulated switchgears(GIS),a new threshold function of arbitrary order is constructed based on the existing wavelet threshold algorithm. It overcomes the discontinuity of hard thresh-old function and the problem of constant deviation of soft threshold function is improved. By constructing the poly-morphic partial discharge signal under the interference of white noise,the signal noise ratio(SNR)and the mean square error(MSE)are used as the noise reduction evaluation index it is found that the method is more effective to suppress noise interference by comparing and analyzing the traditional wavelet denoising algorithm based on the hard threshold and the soft threshold. Finally the improved threshold algorithm is validated to be suitable for on-line monitoring system of partial discharge in GIS by field simulation corona discharge model experiment.
In order to solve the problem that polymorphic partial discharge pulse signal is interfered by white noise when on-line monitoring partial discharge in gas insulated switchgears(GIS),a new threshold function of arbitrary order is constructed based on the existing wavelet threshold algorithm. It overcomes the discontinuity of hard thresh-old function and the problem of constant deviation of soft threshold function is improved. By constructing the poly-morphic partial discharge signal under the interference of white noise,the signal noise ratio(SNR)and the mean square error(MSE)are used as the noise reduction evaluation index it is found that the method is more effective to suppress noise interference by comparing and analyzing the traditional wavelet denoising algorithm based on the hard threshold and the soft threshold. Finally the improved threshold algorithm is validated to be suitable for on-line monitoring system of partial discharge in GIS by field simulation corona discharge model experiment.
引文
[1]邱昌容,王乃庆.电力设备局部放电及其测试技术[M].北京:机械工业出版社,1994:56-60.QIU Changrong,WANG Naiqing.Partial discharge of power equipment and its testing technology[M].Beijing:China Machine Press,1994:56-60.
[2]郑重,谭克雄,高凯,等.局部放电脉冲波形特性分析[J].高电压技术,1999,25(4):13-20.ZHEN Zhong,TAN Kexiong,GAO Kai,et al.Pulse shape characteristic analysis of partial discharge signals[J].High Voltage Engineering,1999,25(4):13-20.
[3]贾亚飞,李鸿禄,李春耕,等.基于混沌粒子群的第2代小波的局部放电信号去噪[J].电力系统及其自动化学报,2017,29(3):62-68.JIA Yafei,LI Honglu,LI Chungeng,et al.Denoising of partial discharge signals by using SGWT based on CPSO[J].Proceedings of the CSU-EPSA,2017,29(3):62-68.
[4]陈晓林,汪沨,谭阳红,等.GIS局部放电在线监测系统的研究与设计[J].电力系统及其自动化学报,2017,29(3):42-49.CHEN Xiaolin,WANG Feng,TAN Yanghong,et al.Research and design of online monitoring system for GISpartial discharge[J].Proceedings of the CSU-EPSA,2017,29(3):42-49.
[5]李娟,李明,金子惠.GIS设备局部放电缺陷诊断分析[J].高压电器,2014,50(10):85-90.LI Juan,LI Ming,JIN Zihui.Some methods for diagnosis of GIS partial discharge defects[J].High Voltage Apparatus,2014,50(10):85-90.
[6]李国伟,章涛,王俊波,等.基于超高频法的GIS局部放电类型判断方法[J].高压电器,2013,49(1):63-68.LI Guowei,ZHANG Tao,WANG Junbo,et al.Judgment of partial discharge types in GIS based on UHF method[J].High Voltage Apparatus,2013,49(1):63-68.
[7]HUECKER T.UHF Partial discharge monitoring for GIS[C]//The Tenth International Symposium on High Voltage Engineering.Canada:[s.n.],1997:255-259.
[8]孙曙光,陆俭国,余慧中,等.基于特高频法的典型GIS局部放电检测[J].高压电器,2012,48(4):7-12.SUN Shuguang,LU Jianguo,YU Huizhong,et al.Detection of typical GIS partial discharge based on UHF method[J].High Voltage Apparatus,2012,48(4):7-12.
[9]GAO W,ZHAO D,DING D,et al.Investigation of frequency characteristics of typical PD and the propagation properties in GIS[J].IEEE Transactions on Dielectrics and Electrical Insulation,2015,22(3):1654-1662.
[10]ZHANG X,ZHOU J,LI N,et al.Suppression of UHF partial discharge signals buried in white-noise interference based on block thresholding spatial correlation combinative de-noising method[J].IET Generation Transmission&Distribution,2012,6(5):353-362.
[11]YANG L,JUDD M D,BENNOCH C J.Denoising UHF signal for PD detection in transformers based on wavelet technique[C]//Annual Report Conference on Electrical Insulation and Dielectric Phenomena.Colorado:[s.n.],2004:166-169.
[12]杨志超,范立新,杨成顺,等.形态学滤波与自适应噪声抵消在GIS局部放电特高频信号去噪中的应用[J].高压电器,2014,50(12):41-46.YANG Zhichao,FAN Lixin,YANG Chengshu,et al.Noise removal of partial discharge UHF pulse in GIS with morphological filter and adaptive noise canceller[J].High Voltage Apparatus,2014,50(12):41-46.
[13]叶会生,陈晓林,周挺,等.提升双树复小波在GIS局部放电监测白噪声抑制的应用[J].高电压技术,2017,43(3):851-858.YE Huisheng,CHEN Xiaolin,ZHOU Ting,et al.Application of white-noise suppression in gas insulated switchgear partial discharge monitoring based on lifting dual-tree complex wavelet transform[J].High Voltage Engineering,2017,43(3):851-858.
[14]LI J,JIANG T,HARRISON R F,et al.Recognition of ultrahigh frequency partial discharge signals using multi-scale Features[J].Dielectrics&Electrical Insulation IEEETransactions on,2012,19(4):1412-1420.
[15]WANG Y,WU J.Research on a practical de-noising method and the characterization of partial discharge UHFsignals[J].EEE Transactions on Dielectrics&Electrical Insulation I,2014,21(5):2206-2216.
[16]丁登伟,唐诚,高文胜,等.GIS中典型局部放电的频谱特征及传播特性[J].高电压技术,2014,40(10):3243-3251.DING Dengwei,TANG Cheng,GAO Wensheng,et al.Frequency attributes and propagation properties of typical partial discharge in GIS[J].High Voltage Engineering,2014,40(10):3243-3251.
[17]张艺还,王旭红,郭良,等.基于归一化自相关函数与类小波软阈值法的GIS局放信号降噪方法研究[J].高压电器,2018,54(3):17-24.ZHANG Yihuan,WANG Xuhong,GUO Liang,et al.Partial discharge detection for GIS based on normalized autocorrelation function and similar wavelet soft threshold[J].High Voltage Apparatus,2018,54(3):17-24.
[18]段大鹏.基于UHF方法的GIS局部放电检测与仿生模式识别[D].上海:上海交通大学,2009.DUAN Dapeng.GIS partial discharge detection and biomimetic pattern recognition based on UHF method[D].Shanghai:Shanghai Jiao Tong University,2009.
[19]陈迅,秦海亭,刘利,等.GIS局部放电小波阈值去噪算法的改进[J].电子设计工程,2015,23(16):171-174.CHEN Xun,QIN Haiting,LIU Li,et al.The improvement of wavelet threshold denoising algorithm of partial discharge for GIS[J].Electronic Design Engineering,2015,23(16):171-174.
[20]刘卫东,刘尚和,胡小峰,等.小波阈值去噪函数的改进方法分析[J].高电压技术,2007,33(10):59-63.LIU Weidong,LIU Shanghe,HU Xiaofeng,et al.Analysis of modified methods of wavelet threshold de-noising functions[J].High Voltage Engineering,2007,33(10):59-63.
[21]王彪,李建文,王钟斐.基于小波分析的新阈值去噪方法[J].计算机工程与设计,2011,32(3):1099-1102.WANG Biao,LI Jianwen,WANG Zhongfei.Threshold denoising method based on wavelet analysis[J].Computer Engineering and Design,2011,32(3):1099-1102.
[22]张艳阳.变压器局部放电在线监测中的噪声抑制方法研究[D].湖南:湖南大学,2006.ZHANG Yanyang.The research on the suppression method(50)of disturbances for on-line partial discharge monitoring of transformer[D].Hunan:Hunan University,2006.
[23]MA X,ZHIU C,KEMP I J.An improved methodology for application of wavelet transform to partial discharge measurement denoising[J].IEEE Transactions on Dielectrics and ElectricalInsulation,2005,12(3):1363-1369.
[24]李清泉,秦冰阳,司雯,等.混合粒子群优化小波自适应阈值估计算法及用于局部放电去噪[J].高电压技术,2017,43(5):1485-1492.LI Qingquan,QIN Bingyang,SI Wen,et al.Estimation algorithm for adaptive threshold of hybrid particle swarm optimization wavelet and its application in partial discharge signals de-noising[J].High Voltage Engineering,2017,43(5):1485-1492.
[25]艾比布勒-赛塔尔,徐文邦,王德平,等.局部放电小波阈值去噪算法的改进[J].电子测试,2014(10):26-28.Aibibule-Saitaer,XU Wenbang,WANG Deping,et al.The improvement of wavelet threshold denoising algorithm of partial discharge[J].The Electronic Test,2014(10):26-28.
[2]郑重,谭克雄,高凯,等.局部放电脉冲波形特性分析[J].高电压技术,1999,25(4):13-20.ZHEN Zhong,TAN Kexiong,GAO Kai,et al.Pulse shape characteristic analysis of partial discharge signals[J].High Voltage Engineering,1999,25(4):13-20.
[3]贾亚飞,李鸿禄,李春耕,等.基于混沌粒子群的第2代小波的局部放电信号去噪[J].电力系统及其自动化学报,2017,29(3):62-68.JIA Yafei,LI Honglu,LI Chungeng,et al.Denoising of partial discharge signals by using SGWT based on CPSO[J].Proceedings of the CSU-EPSA,2017,29(3):62-68.
[4]陈晓林,汪沨,谭阳红,等.GIS局部放电在线监测系统的研究与设计[J].电力系统及其自动化学报,2017,29(3):42-49.CHEN Xiaolin,WANG Feng,TAN Yanghong,et al.Research and design of online monitoring system for GISpartial discharge[J].Proceedings of the CSU-EPSA,2017,29(3):42-49.
[5]李娟,李明,金子惠.GIS设备局部放电缺陷诊断分析[J].高压电器,2014,50(10):85-90.LI Juan,LI Ming,JIN Zihui.Some methods for diagnosis of GIS partial discharge defects[J].High Voltage Apparatus,2014,50(10):85-90.
[6]李国伟,章涛,王俊波,等.基于超高频法的GIS局部放电类型判断方法[J].高压电器,2013,49(1):63-68.LI Guowei,ZHANG Tao,WANG Junbo,et al.Judgment of partial discharge types in GIS based on UHF method[J].High Voltage Apparatus,2013,49(1):63-68.
[7]HUECKER T.UHF Partial discharge monitoring for GIS[C]//The Tenth International Symposium on High Voltage Engineering.Canada:[s.n.],1997:255-259.
[8]孙曙光,陆俭国,余慧中,等.基于特高频法的典型GIS局部放电检测[J].高压电器,2012,48(4):7-12.SUN Shuguang,LU Jianguo,YU Huizhong,et al.Detection of typical GIS partial discharge based on UHF method[J].High Voltage Apparatus,2012,48(4):7-12.
[9]GAO W,ZHAO D,DING D,et al.Investigation of frequency characteristics of typical PD and the propagation properties in GIS[J].IEEE Transactions on Dielectrics and Electrical Insulation,2015,22(3):1654-1662.
[10]ZHANG X,ZHOU J,LI N,et al.Suppression of UHF partial discharge signals buried in white-noise interference based on block thresholding spatial correlation combinative de-noising method[J].IET Generation Transmission&Distribution,2012,6(5):353-362.
[11]YANG L,JUDD M D,BENNOCH C J.Denoising UHF signal for PD detection in transformers based on wavelet technique[C]//Annual Report Conference on Electrical Insulation and Dielectric Phenomena.Colorado:[s.n.],2004:166-169.
[12]杨志超,范立新,杨成顺,等.形态学滤波与自适应噪声抵消在GIS局部放电特高频信号去噪中的应用[J].高压电器,2014,50(12):41-46.YANG Zhichao,FAN Lixin,YANG Chengshu,et al.Noise removal of partial discharge UHF pulse in GIS with morphological filter and adaptive noise canceller[J].High Voltage Apparatus,2014,50(12):41-46.
[13]叶会生,陈晓林,周挺,等.提升双树复小波在GIS局部放电监测白噪声抑制的应用[J].高电压技术,2017,43(3):851-858.YE Huisheng,CHEN Xiaolin,ZHOU Ting,et al.Application of white-noise suppression in gas insulated switchgear partial discharge monitoring based on lifting dual-tree complex wavelet transform[J].High Voltage Engineering,2017,43(3):851-858.
[14]LI J,JIANG T,HARRISON R F,et al.Recognition of ultrahigh frequency partial discharge signals using multi-scale Features[J].Dielectrics&Electrical Insulation IEEETransactions on,2012,19(4):1412-1420.
[15]WANG Y,WU J.Research on a practical de-noising method and the characterization of partial discharge UHFsignals[J].EEE Transactions on Dielectrics&Electrical Insulation I,2014,21(5):2206-2216.
[16]丁登伟,唐诚,高文胜,等.GIS中典型局部放电的频谱特征及传播特性[J].高电压技术,2014,40(10):3243-3251.DING Dengwei,TANG Cheng,GAO Wensheng,et al.Frequency attributes and propagation properties of typical partial discharge in GIS[J].High Voltage Engineering,2014,40(10):3243-3251.
[17]张艺还,王旭红,郭良,等.基于归一化自相关函数与类小波软阈值法的GIS局放信号降噪方法研究[J].高压电器,2018,54(3):17-24.ZHANG Yihuan,WANG Xuhong,GUO Liang,et al.Partial discharge detection for GIS based on normalized autocorrelation function and similar wavelet soft threshold[J].High Voltage Apparatus,2018,54(3):17-24.
[18]段大鹏.基于UHF方法的GIS局部放电检测与仿生模式识别[D].上海:上海交通大学,2009.DUAN Dapeng.GIS partial discharge detection and biomimetic pattern recognition based on UHF method[D].Shanghai:Shanghai Jiao Tong University,2009.
[19]陈迅,秦海亭,刘利,等.GIS局部放电小波阈值去噪算法的改进[J].电子设计工程,2015,23(16):171-174.CHEN Xun,QIN Haiting,LIU Li,et al.The improvement of wavelet threshold denoising algorithm of partial discharge for GIS[J].Electronic Design Engineering,2015,23(16):171-174.
[20]刘卫东,刘尚和,胡小峰,等.小波阈值去噪函数的改进方法分析[J].高电压技术,2007,33(10):59-63.LIU Weidong,LIU Shanghe,HU Xiaofeng,et al.Analysis of modified methods of wavelet threshold de-noising functions[J].High Voltage Engineering,2007,33(10):59-63.
[21]王彪,李建文,王钟斐.基于小波分析的新阈值去噪方法[J].计算机工程与设计,2011,32(3):1099-1102.WANG Biao,LI Jianwen,WANG Zhongfei.Threshold denoising method based on wavelet analysis[J].Computer Engineering and Design,2011,32(3):1099-1102.
[22]张艳阳.变压器局部放电在线监测中的噪声抑制方法研究[D].湖南:湖南大学,2006.ZHANG Yanyang.The research on the suppression method(50)of disturbances for on-line partial discharge monitoring of transformer[D].Hunan:Hunan University,2006.
[23]MA X,ZHIU C,KEMP I J.An improved methodology for application of wavelet transform to partial discharge measurement denoising[J].IEEE Transactions on Dielectrics and ElectricalInsulation,2005,12(3):1363-1369.
[24]李清泉,秦冰阳,司雯,等.混合粒子群优化小波自适应阈值估计算法及用于局部放电去噪[J].高电压技术,2017,43(5):1485-1492.LI Qingquan,QIN Bingyang,SI Wen,et al.Estimation algorithm for adaptive threshold of hybrid particle swarm optimization wavelet and its application in partial discharge signals de-noising[J].High Voltage Engineering,2017,43(5):1485-1492.
[25]艾比布勒-赛塔尔,徐文邦,王德平,等.局部放电小波阈值去噪算法的改进[J].电子测试,2014(10):26-28.Aibibule-Saitaer,XU Wenbang,WANG Deping,et al.The improvement of wavelet threshold denoising algorithm of partial discharge[J].The Electronic Test,2014(10):26-28.