基于特征光谱的GIS尖端放电特性研究
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摘要
针对气体绝缘金属封闭开关设备(gas-insulated metal-enclosed switchgear,GIS)尖端放电电极材质无法确定、放电严重程度无法有效表征的难题,设计了尖端放电光谱特征试验平台及测试系统,研究SF_6环境中不锈钢、钨钢、铜、铝、石墨等5种不同电极材质下的尖端放电光谱特征。通过光谱分析,发现特征波长分布与电极材质的关系,制定了特征波长判断矩阵,并提出基于特征波长的尖端材质判断方法;同时,对于尖端放电光谱中356.54 nm、379.43 nm、398.40 nm 3个固有特征波长,提出了基于以上3个特征波长的两两相对强度的尖端放电严重程度识别方法。实验结果表明了方法的有效性和实用性。
Due to that materials of discharge electrode of the gas-insulated metal-enclosed switchgear(GIS) can not be determined and severity of discharge can not be effectively characterized, this paper designs a test platform and system to study characteristics of tip discharge spectrum of five kinds of electrode materials including stainless steel, tungsten steel, copper, aluminum and graphite in SF_6 environment. According to spectrum analysis, it discovers relationship between distribution of characteristic wavelength and materials of electrode, formulates the judgment matrix of the characteristic wavelength and proposes a judgement method for tip materials based on characteristic wavelength. Meanwhile, it presents an identification method for severity of tip discharge based on relative intensities in pairs of 3 intrinsic characteristic wavelengths including 356.54 nm, 379.43 nm and 398.40 nm. Test results indicate effectiveness and practicability of the method.
Due to that materials of discharge electrode of the gas-insulated metal-enclosed switchgear(GIS) can not be determined and severity of discharge can not be effectively characterized, this paper designs a test platform and system to study characteristics of tip discharge spectrum of five kinds of electrode materials including stainless steel, tungsten steel, copper, aluminum and graphite in SF_6 environment. According to spectrum analysis, it discovers relationship between distribution of characteristic wavelength and materials of electrode, formulates the judgment matrix of the characteristic wavelength and proposes a judgement method for tip materials based on characteristic wavelength. Meanwhile, it presents an identification method for severity of tip discharge based on relative intensities in pairs of 3 intrinsic characteristic wavelengths including 356.54 nm, 379.43 nm and 398.40 nm. Test results indicate effectiveness and practicability of the method.
引文
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[10]张晓星,舒娜,徐晓刚,等.基于三维谱图混沌特征的GIS局部放电识别[J].电工技术学报,2015,30(1):249-254.ZHANG Xiaoxing,SHU Na,XU Xiaogang,et al.GIS partial discharge recognition based on chaos features of the three-dimensional spectra[J].Transactions of China Electrotechnical Society,2015,30(1):249-254.
[11]杜伟,陈珉,于淼,等.超声波局部放电带电检测方法的研究现状与发展[J].浙江电力,2017(10):43-49.DU Wei,CHEN M in,YU M iao,et al.Research status and development of ultrasonic partial discharge live detection method[J].Zhejiang Electric Power,2017(10):43-49.
[12]郭超,杨新春,朱虎,等.GIS超声波局部放电检测方法与现场应用[J].电工电气,2017(10):54-59.GUO Chao,YANG Xinchun,ZHU Hu,et al.Ultrasonic detection method for gas insulated sw itchgear partial discharge and its field application[J].Electrotechnics Electric,2017(10):54-59.
[13]WU Y,YE Q,LI X,et al.Classification of dielectric barrier discharg es using dig ital im ag e pro cessing techno lo g y[J].IEEE T ransactio ns o n Plasm a Science,2012,40(5):1371-1379.
[14]YE Q,WU Y,LI X,et al.Uniformity of dielectric barrier discharges using mesh electrodes[J].Plasma Sources Sci.Technol.,2012(21):165-168.
[15]YE Q,LI X,HU Y,et al.Research on the length of the po sitiv e co ro na using the dig ital im ag e pro cessing techno lo g y[C]//IEEE Conference on Electrical Insulation and Dielectric Pheno m ena(C EID P 2014).Piscataw ay:IEEE Press,2014:98-101.
[16]陈锐民,吴骜,谭丹,等.沿面放电的可见光图像RGB颜色分析及应用[J].高压电器,2016,52(10):38-42.CHEN Ruimin,WU Ao,TAN Dan,et al.Visible light image RGB color analysis of surface discharge and its application[J].High Voltage Apparatus,2016,52(10):38-42.
[2]JUDD M D,FARISH O,HAMPTON B F.Broadband couplers for UHF detection of partial discharge in gas-insulated substation[J].IEEE Proc-sci.Meas.Technol.,1995,142(3):237-243.
[3]王建生,邱毓昌,吴向华,等.用于GIS局部放电检测的超高频传感器频率响应特性[J].中国电机工程学报,2000,20(8):42-45.WANG Jiansheng,QIU Yuchang,WU Xianghua,et al.Frequency response characteristics of the UHF sensors for partial discharge detection in gas[J].Proceedings of the CSEE,2000,20(8):42-45.
[4]唐炬,魏钢,孙才新,等.GIS局部放电检测用超宽频带振子天线传感器研究[J].高电压技术,2004,30(3):29-31.T A N G Ju,W EI G ang,SU N C aix in,et al.Research o n the dipo le antenna senso r w ith bro adband fo r partial discharg e detectio n in g as[J].Hig h V o ltag e Eng ineering,2004,30(3):29-31.
[5]丁登伟,高文胜,刘卫东.采用特高频法的GIS典型缺陷特性分析[J].高电压技术,2011,37(3):706-710.DING Dengw ei,GAO Wensheng,LIU Weidong.Analysis on the typical partial discharge using UHF detection method for GIS[J].High Voltage Engineering,2011,37(3):706-710.
[6]宋领赟.GIS内部缺陷局部放电下SF6分解特性研究[J].绝缘材料,2017,50(6):53-58.SONG Lingyun.Study on SF6decomposition properties under partial discharge of internal defects in GIS[J].Insulating M aterials,2017,50(6):53-58.
[7]芦竹茂,刘庆,王天正,等.多种带电检测方法在GIS局部放电诊断中的综合应用与研究[J].高压电器,2017,53(10):222-226.LU Zhumao,LIU Qing,WANG Tianzheng,et al.Comprehensive application and research of multi live detection methods in partial discharge diagnosis for GIS[J].High Voltage Apparatus,2017,53(10):222-226.
[8]范松海,刘壮,鄢阳,等.GIS局部放电在线检测技术及应用[J].广东电力,2015,28(7):88-90.FAN Songhai,LIU Zhuang,YAN Yang,et al.Online detection technology for GIS partial discharge and its application[J].Guangdong Electric Pow er,2015,28(7):88-90.
[9]刘勇业,马宏忠,姜宁,等.GIS沿面放电缺陷的振动检测法分析[J].广东电力,2017,30(3):71-75.LIU Yongye,M A Hongzhong,JIANG Ning,et al.Analysis on vibration detection method for creeping discharge defect in GIS[J].Guangdong Electric Power,2017,30(3):71-75.
[10]张晓星,舒娜,徐晓刚,等.基于三维谱图混沌特征的GIS局部放电识别[J].电工技术学报,2015,30(1):249-254.ZHANG Xiaoxing,SHU Na,XU Xiaogang,et al.GIS partial discharge recognition based on chaos features of the three-dimensional spectra[J].Transactions of China Electrotechnical Society,2015,30(1):249-254.
[11]杜伟,陈珉,于淼,等.超声波局部放电带电检测方法的研究现状与发展[J].浙江电力,2017(10):43-49.DU Wei,CHEN M in,YU M iao,et al.Research status and development of ultrasonic partial discharge live detection method[J].Zhejiang Electric Power,2017(10):43-49.
[12]郭超,杨新春,朱虎,等.GIS超声波局部放电检测方法与现场应用[J].电工电气,2017(10):54-59.GUO Chao,YANG Xinchun,ZHU Hu,et al.Ultrasonic detection method for gas insulated sw itchgear partial discharge and its field application[J].Electrotechnics Electric,2017(10):54-59.
[13]WU Y,YE Q,LI X,et al.Classification of dielectric barrier discharg es using dig ital im ag e pro cessing techno lo g y[J].IEEE T ransactio ns o n Plasm a Science,2012,40(5):1371-1379.
[14]YE Q,WU Y,LI X,et al.Uniformity of dielectric barrier discharges using mesh electrodes[J].Plasma Sources Sci.Technol.,2012(21):165-168.
[15]YE Q,LI X,HU Y,et al.Research on the length of the po sitiv e co ro na using the dig ital im ag e pro cessing techno lo g y[C]//IEEE Conference on Electrical Insulation and Dielectric Pheno m ena(C EID P 2014).Piscataw ay:IEEE Press,2014:98-101.
[16]陈锐民,吴骜,谭丹,等.沿面放电的可见光图像RGB颜色分析及应用[J].高压电器,2016,52(10):38-42.CHEN Ruimin,WU Ao,TAN Dan,et al.Visible light image RGB color analysis of surface discharge and its application[J].High Voltage Apparatus,2016,52(10):38-42.