基于系统电力扰动的交叉互联电缆绝缘整体老化在线监测

doi:10.19595/j.cnki.1000-6753.tces.170808

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Abstract The insulation monitoring signals of cross-bonded cables are generally weak and insulation states are difficult to distinguish under power frequency excitation. A new on-line monitoring method based on system power disturbances is proposed for insulation ageing of cross-bonded cable insulation states. This method uses the insulation admittance spectrum to distinguish the overall aging conditions, which are calculated by the current transient responses on the grounding line and cross-bonding line under the system power disturbances. The suitable types of power disturbances are analyzed and selected, and a frequency-dependent cross-bonded cable model for system power disturbances analyzing is constructed. A three-phase decoupling method is proposed to solve each phase independently for the cross-bonded scheme of the metal sheath, and the formula of calculating the insulation admittance spectrum is deduced. A simulation model is built based on vector fitting method in EMTP/ATP software. The single-phase grounding, inter-phase short circuit, capacitor switching and unloaded line charging are selected as the typical representatives of system power disturbances. The simulation results have proved that this method is correct and effective.

Key words： Power disturbances on-line insulation monitoring cross-bonded cables admittance spectrum

Received: 06 June 2017 Published: 27 July 2018

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TM85

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	Li Lulu
	Yong Jing
	Zeng Liqiang
	Wang Xiaojing
	Lu Jiaming

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Li Lulu,Yong Jing,Zeng Liqiang等. On-Line Monitoring of Insulation Overall Aging for Cross-Bonded Cables Based on System Power Disturbances[J]. Transactions of China Electrotechnical Society, 2018, 33(14): 3396-3405.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.170808 OR https://dgjsxb.ces-transaction.com/EN/Y2018/V33/I14/3396

[1] IEEE. IEEE Standard 575 IEEE Guide for Bonding Shields and Sheaths of Single-Conductor Power Cables Rated 5kV through 500kV[S]. New York: IEEE, 2014.
[2] 周凯, 吴科, 万利, 等. 无机纳米颗粒抑制中压电缆终端气隙缺陷局部放电的有效性[J]. 电工技术学报, 2016, 31(22): 230-238.
Zhou Kai, Wu Ke, Wan Li, et al.Validity of inorganic nano-particles on the suppression of partial discharge in air gap defects for medium voltage cable terminations[J]. Transactions of China Electro- technical Society, 2016, 31(22): 230-238.
[3] 魏新劳, 朱博, 庞兵, 等. 长距离三相电力电缆绝缘在线监测方法[J]. 中国电机工程学报, 2015, 35(8): 2079-2086.
Wei Xinlao, Zhu Bo, Pang Bing, et al.On-line insulation monitoring method for long distance three-phase power cable[J]. Proceedings of the CSEE, 2015, 35(8): 2079-2086.
[4] 张海龙, 关伟民, 关根志. 基于ART2A-E的交叉互联XLPE电缆绝缘在线诊断技术研究[J]. 高压电器, 2010, 46(9): 48-52.
Zhang Hailong, Guan Weimin, Guan Genzhi.On-line insulation diagnosis technique of cross-bonding XLPE cable based on ART2A-E[J]. High Voltage Apparatus, 2010, 46(9): 48-52.
[5] 刘忠杰, 关根志, 龙望成. XLPE电缆交叉互联接线时的绝缘在线监测[J]. 高电压技术, 2008, 34(8): 1610-1615.
Liu Zhongjie, Guan Genzhi, Long Wangcheng.Method and emulation on-line monitoring of cross- linked XLPE cable[J]. High Voltage Engineering, 2008, 4(8): 1610-1615.
[6] 杜伯学, 李忠磊, 张锴, 等. 220kV交联聚乙烯电力电缆接地电流的计算与应用[J]. 高电压技术, 2013, 39(5): 1034-1039.
Du Boxue, Li Zhonglei, Zhang Kai, et al.Calculation and application of 220kV cross-linked polyethylene power cable grounding current[J]. High Voltage Engineering, 2013, 39(5): 1034-1039.
[7] 周文俊, 杨洋, 卫李静, 等. 交叉互联电缆泄漏电流的分离及相间介损相对变化监测应用[J]. 高电压技术, 2016, 42(2): 468-477.
Zhou Wenjun, Yang Yang, Wei Lijing, et al.Separation method of leakage current in cross-bonded cables and its application in on-line monitoring relative change of dielectric loss between phases[J]. High Voltage Engineering, 2016, 42(2): 468-477.
[8] 徐文远, 雍静. 电力扰动数据分析学——电能质量监测数据的新应用[J]. 中国电机工程学报, 2013, 33(19): 93-101.
Xu Wenyuan, Yong Jing.Power disturbance data analytics: new application of power quality monitoring data[J]. Proceedings of the CSEE, 2013, 33(19): 93-101.
[9] Fessol F N, Ariffin A M, Illias H A.Influence of underground cable insulation parameters on transient overvoltages[C]//IEEE Conference on Power Engin- eering and Optimization, Langkawi, Malaysia, 2013: 362-365.
[10] Pushpanathan B, Grzybowski S.Analysis of online capacitor switching transient voltages on experi- mental MV cables[C]//IEEE International Conference on High Voltage Engineering and Application, Poznan, Poland, 2015: 1-4.
[11] Pushpanathan B, Grzybowski S, Bialek T O.Identification of aged cable section in 12.5kV URD system based on frequency spectrum[C]//IEEE PES Transmission and Distribution Conference and Exposition, Orlando, FL, USA, 2012: 1-5.
[12] 朱珂, 倪建, 刘颖英, 等. 面向电力扰动数据分析的暂态扰动检测[J]. 电工技术学报, 2017, 32(3): 35-44.
Zhu Ke, Ni Jian, Liu Yingying, et al.Detect transient power disturbance for power disturbance data analytics[J]. Transactions of China Electrotechnical Society, 2017, 32(3): 35-44.
[13] 吴文辉, 曹祥麟. 电力系统电磁暂态计算与EMTP应用[M]. 北京: 中国水利水电出版社, 2012.
[14] 李锐, 刘邦银, 段善旭. 逆变器数字控制频率混叠现象分析与抗混叠策略研究[J]. 电工技术学报, 2013, 28(10): 150-158.
Li Rui, Liu Bangyin, Duan Shanxu.Analysis of freguency alias of digital controlled inverters and its suppression method[J]. Transactions of China Elec- trotechnical Society, 2013, 28(10): 150-158.
[15] 张伟, 张龙, 黄志伟, 等. 考虑频变参数的交联聚乙烯电缆中局部放电传播特性的时域分析[J]. 高电压技术, 2014, 40(11): 3461-3467.
Zhang Wei, Zhang Long, Huang Zhiwei, et al.Time domain analysis of partial discharge propagation in cross-linked polyethylene cables considering frequency- dependent parameters[J]. High Voltage Engineering, 2014, 40(11): 3461-3467.
[16] Mugala G, Eriksson R, Pettersson P.Dependence of XLPE insulated power cable wave propagation characteristics on design parameters[J]. IEEE Transa- ctions on Dielectrics & Electrical Insulation, 2007, 14(2): 393-399.
[17] Aloui T, Amar F B, Abdallah H H.Fault pre- localization of underground single-phase cables: modeling and simulation[J]. International Journal of Electrical Power & Energy Systems, 2013, 44(1): 514-519.
[18] Zhou Zhiqiang, Zhang Dandan, He Junjia, et al.Local degradation diagnosis for cable insulation based on broadband impedance spectroscopy[J]. IEEE Transactions on Dielectrics & Electrical Insulation, 2015, 22(4): 2097-2107.
[19] Paul C R.Analysis of multi-conductor transmission lines[M]. New York, USA: Wiley Press, 2008.
[20] Tozzi M, Cavallini A, Montanari G C, et al.PD detection in extruded power cables: an approximate propagation model[J]. IEEE Transactions on Dielectrics and Electrical Insulation, 2008, 15(3): 832-840.
[21] Wang Y, Xu W, Shen J.Online tracking of transmission line parameters using SCADA data[J]. IEEE Transactions on Power Delivery, 2016, 31(2): 674-682.
[22] 周志强. 基于宽频阻抗谱的电缆局部缺陷诊断方法研究[D]. 武汉: 华中科技大学, 2015.
[23] Gustavsen B, Semlyen A.Rational approximation of frequency domain responses by vector fitting[J]. IEEE Transactions on Power Delivery, 1999, 14(3): 1052-1061.
[24] Martinez Velasco, Juan A.Calculation of power system over voltages[M]. New Jersey: Wiley-IEEE Press, 2015: 100-194.
[25] Sarto M, Scarlatti A, Holloway C.On the use of fitting models for the time-domain analysis of problems with frequency-dependent parameters[C]// IEEE International Symposium on Electromagnetic Compatibility, Montreal, Que., Canada, 2001: 588-593.