[1]周電波,王紅梅,程江榮,等.變壓器局部放電多頻段聯合檢測技術試驗研究[J].高壓電器,2018,54(11):170-175.[doi:10.13296/j.1001-1609.hva.2018.11.025]
 ZHOU Dianbo,WANG Hongmei,CHENG Jiangrong,et al.Experimental Study on Combined Multi-band Detection Technology forPartial Discharge in Transformer[J].High Voltage Apparatus,2018,54(11):170-175.[doi:10.13296/j.1001-1609.hva.2018.11.025]
點擊複制

變壓器局部放電多頻段聯合檢測技術試驗研究()
分享到:

《高壓電器》[ISSN:1001-1609/CN:61-11271/TM]

卷:
第54卷
期數:
2018年11期
頁碼:
170-175
欄目:
電力變壓器局部放電檢測及狀態評估
出版日期:
2018-11-05

文章信息/Info

Title:
Experimental Study on Combined Multi-band Detection Technology for Partial Discharge in Transformer
作者:
周電波1王紅梅1程江榮2劉衛東23吳曉晖1丁登偉3何良1
1. 國網四川省電力公司, 成都 610041; 2. 清華大學電機系電力系統及發電設備控制與 仿真國家重點實驗室, 北京 100084; 3. 清華四川能源互聯網研究院, 成都 610213
Author(s):
ZHOU Dianbo1 WANG Hongmei1 CHENG Jiangrong2 LIU Weidong23 WU Xiaohui1 DING Dengwei3 HE Liang1
1. State Gird Sichuan Electric Power Corporation, Chengdu 610041, China; 2. State Key Lab. of Power System, Dept. of Electrical Engineering, Tsinghua University, Beijing 100084, China; 3. Sichuan Energy Internet Research Institute, Tsinghua University, Chengdu 610213, China
關鍵詞:
變壓器 局部放電 聯合檢測 尖端放電
Keywords:
transformer partial discharge combined detection technology point discharge
DOI:
10.13296/j.1001-1609.hva.2018.11.025
文獻標志碼:
A
摘要:
單一的檢測手段在變壓器局部放電檢測中均存在一定的局限性,很難全面解決變壓器局部放電中的各種問題。爲了克服單一檢測的局限性,提高局部放電檢測可靠性,文中提出基于特高頻、高頻和超聲檢測的聯合檢測技術,以全面解決局部放電中的抗幹擾、模式識別、定位和放電量測定等問題。同時,以變壓器模型中的尖端缺陷爲基礎,試驗驗證了聯合檢測的有效性,試驗結果表明:聯合檢測可以有效區分內部放電和外部幹擾,顯著提升抗幹擾能力;利用聯合檢測所得到的放電三維譜圖可開展多種方式的模式識別技術,提高模式識別的准確度;以特高頻信號爲參考時標,提高了超聲波信號時延的求取精度,進而提升了缺陷的定位精度;最後利用高頻信號的標定結果,可獲得放電的視在放電量,准確評估放電嚴重程度。
Abstract:
For partial discharge in transformer,every single detection method has its limitation and cannot solve all the problems perfectly. To overcome the limitation of single detection method and improve the reliability of partial discharge detection,this study proposed a combined detection technology based on the ultra-high frequency method,HFCT method and the ultrasonic method. The effectiveness of the combined detection method was confirmed by experiment, and the result shows that: 1)the discharge signal and interfere signal can be distinguished by the combined detection method effectively, and good anti-interfere performance is obtained; 2)based on the combined detection method,different kinds of pattern recognition methods could be developed to improve the accuracy of pattern recognition; 3)the discharge source location method based on the time-delay of ultrasonic signal to UHF signal has high precision; and 4)the high-frequency signal of discharge can be obtained to calculate apparent charge, thus the level of discharge can be evaluated exactly.

參考文獻/References:

[1] STONE G C. Partial discharge diagnostics and electrical equipment insulation condition assessment[J]. IEEE Transactions on Dielectrics and Electrical Insulation, 2005,12(5):891-904.
[2] CHRISTINA A J,SALAM M A,RAHMAN Q M,et al. Causes of transformer failures and diagnostic methods -A review[J]. Renewable & Sustainable Energy Reviews,2018,82(1):1442-1456.
[3] BARTNIKAS R. Partial discharges -their mechanism,detection and measurement[J]. IEEE Transactions on Dielectrics and Electrical Insulation,2002,9(5):763-808.
[4] HAN Y,SONG Y H. Condition monitoring techniques for electrical equipment-A literature survey[J]. IEEE Transactions on Power Delivery,2003,18(1):4-13.
[5] CAVALLINI A,MONTANARI G C,CONTIN A,et al. A new approach to the diagnosis of solid insulation systems based on PD signal inference[J]. IEEE Electrical Insulation Magazine,2003,19(2):23-30.
[6] DUVAL M. A review of faults detectable by gas-in-oil analysis in transformers[J]. IEEE Electrical Insulation Magazine,2002,18(3):8-17.
[7] 劉衛東,皮衛平,毛振侃. 變壓器局部放電試驗中套管缺陷的檢測[J]. 高電壓技術,1995,21(2):55-57.
LIU Weidong,PI Weiping,MAO Zhenkan. Detection of bushing defects in PD test of transformer[J]. High Voltage Engineering,1995,21(2):55-57.
[8] 陳偉根. 以油中多種氣體爲特征量的變壓器絕緣在線監測及故障診斷技術研究[D]. 重慶:重慶大學,2003.
CHEN Weigen. Study on the technology of the on-line monitoring and fault diagnosis for transformer insulation using the character value of oil-dissolved gases[D]. Chongqing:Chongqing University,2003.
[9] 沈 煜,阮 羚,謝齊家,等. 采用甚寬帶脈沖電流法的變壓器局部放電檢測技術現場應用[J]. 高電壓技術,2011,37(4):937-943.
SHEN Yu,RUAN Ling,XIE Qijia,et al. On-site application of partial discharge detection of transformer using very wide bandwidth pulse current method[J]. High Voltage Engineering,2011,37(4):937-943.
[10] RODRIGO A,LLOVERA P,FUSTER V,et al. Influence of high frequency current transformers bandwidth on charge evaluation in partial discharge measurements[J]. IEEE Transactions on Dielectrics and Electrical Insulation,2011,18(5):1798-1802.
[11] OKABE S,UETA G,HAMA H,et al. New aspects of UHF PD diagnostics on gas-insulated systems[J]. IEEE Transactions on Dielectrics and Electrical Insulation,2014,21(5):2245-2258.
[12] JUDD M D,YANG L,HUNTER I B. Partial discharge monitoring for power transformers using UHF sensors Part 1:Sensors and signal interpretation[J]. IEEE Electrical Insulation Magazine,2005,21(2):5-14.
[13] RAJA K,DEVAUX F,LELAIDIER S. Recognition of discharge sources using UHFPD signatures[J]. IEEE Electrical Insulation Magazine,2002,18(5):8-14.
[14] 常文治,唐志國,李成榕,等. 變壓器局部放電UHF信號傳播特性的仿真分析[J]. 高電壓技術,2009,35(7):1629-1634.
CHANG Wenzhi,TANG Zhiguo,LI Chengrong,et al. Simulation analysis of PD UHF signal propagation in transformers[J]. High Voltage Engineering,2009,35(7):1629-1634.
[15] 趙曉輝,楊景剛,路秀麗,等. 油中局部放電檢測脈沖電流法與超高頻法比較[J]. 高電壓技術,2008,34(7):1401-1404.
ZHAO Xiaohui,YANG Jinggang,LU Xiuli,et al. Comparative research on current pulse method and UHF measurements of partial discharge in mineral oil[J]. High Voltage Engineering,2008,34(7):1401-1404.
[16] HOSHINO T,KOYAMA H,MARUYAMA S,et al. Comparison of sensitivity between UHF method and IEC 60270 for onsite calibration in various GIS[J]. IEEE Transactions on Power Delivery,2006,21(4):1948-1953.
[17] 李德軍,沈 威,郭志強. GIS局部放電常規檢測和超聲波檢測方法的應用比較[J]. 高壓電器,2009,45(3):99-103.
LI Dejun,SHEN Wei,GUO Zhiqiang. Application comparison between conventional and ultrasonic detection methods for GIS partial discharge[J]. High Voltage Apparatus,2009,45(3):99-103.
[18] 邊宏宇,馬迪華. 超聲波法在GIS局部放電檢測中的應用[J]. 廣東電力,2013,26(6):76-78.
BIAN Hongyu,MA Dihua. Application of ultrasonic method in GIS partial discharge detection[J]. Guangdong Electric Power,2013,26(6):76-78.
[19] 李燕青. 超聲波法檢測電力變壓器局部放電的研究[D]. 北京:華北電力大學,2004.
LI Yanqing. Study on ultrasonic-based method to detect partial discharge in transformer[D]. Beijing:North China Electric Power University,2004.
[20] KWEON D J,CHIN S B,KWAK H R,et al. The analysis of ultrasonic signals by partial discharge and noise from the transformer[J]. IEEE Transactions on Power Delivery,2005,20(3):1976-1983.
[21] SIKORSKI W,SIODLA K,MORANDA H,et al. Location of partial discharge sources in power transformers based on advanced auscultatory technique[J]. IEEE Transactions on Dielectrics and Electrical Insulation,2012,19(6):1948-1956.
[22] 李軍浩,韓旭濤,劉澤輝,等. 電氣設備局部放電檢測技術述評[J]. 高電壓技術,2015,41(8):2583-2601.
LI Junhao,HAN Xutao,LIU Zehui,et al. Review on partial discharge measurement technology of electrical equipment[J]. High Voltage Engineering,2015,41(8):2583-2601.
[23] MCARTHUR S D,STRACHAN S M,JAHN G. The design of a multi-agent transformer condition monitoring system[J]. IEEE Transactions on Power Systems,2004,19(4):1845-1852.
[24] HETTIWATTE S N,WANG Z D,CROSSLEY P A. Investigation of propagation of partial discharges in power transformers and techniques for locating the discharge[J]. IEE Proceedings-Science Measurement and Technology,2005,152(1):25-30.
[25] 鄭書生,陳金祥,李成榕,等. 變壓器繞組對局部放電特高頻定位方法的影響[J]. 高電壓技術,2013,39(2):324-329.
ZHENG Shusheng,CHEN Jinxiang,LI Chengrong,et al. Influence of windings on locating partial discharge in transformers by using ultra-high frequency method[J]. High Voltage Engineering,2013,39(2):324-329.
[26] 彭 超,雷清泉. 局部放電超高頻信號時頻特性與傳播距離的關系[J]. 高電壓技術,2013,39(2):348-353.
PENG Chao,LEI Qingquan. Relationship between characteristic in time and frequency domain of partial discharge ultra-high frequency signals and the radiation distance[J]. High Voltage Engineering,2013,39(2):348-353.

備注/Memo

備注/Memo:
收稿日期:2018-03-15; 修回日期:2018-05-26 基金項目:國網四川省電力公司科技項目(52199716002D)。 Project Supported by Science and Technology Project of State Grid Sichuan Electric Power Company(52199716002D).周電波(1985—),男,碩士,高級工程師,主要從事變電設備狀態檢測相關生産和研究工作。
更新日期/Last Update: 2018-11-25