油纸绝缘气隙放电发展能量熵特征研究

摘要
图/表
参考文献
相关文章 (9)

全文: PDF (0 KB)
输出: BibTeX | EndNote (RIS)

摘要油纸绝缘是变压器绝缘系统的重要结构之一,气隙放电是油纸绝缘局部放电的主要形式;研究气隙放电及其发展过程的特征信息,对于及时了解绝缘劣化状态和发现潜伏性故障具有重要意义。通过模拟实际变压器运行环境,建立气隙放电模型,根据油纸绝缘不同劣化状态的变化对局部放电能量分布造成的突变影响,构建了以不同频带能量分布为基础的能量熵模型,提出将能量熵作为气隙放电发展的新特征量,每次能量熵的“阶跃”变化分别对应油纸绝缘不同劣化状态的转换,通过试验验证了其有效性,为探索新的特征参量揭示油纸绝缘气隙放电的发展特性提出了新的思路。

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章

关键词 ：气隙放电, 绝缘劣化, 能量分布, 能量熵

Abstract：Oil-immersed paper insulation is one of the important structures in transformer insulation system, and air-gap discharge is the primary form of partial discharge (PD) in oil-immersed paper. Thus, it is of great significance to study the new features of PD development process for detecting degradation states of insulation and potential faults. This paper builds an air-gap model in a simulative transformer tank to collect PD signals based on constant voltage method. According to the energy distribution singularities of PD signals caused by the variations of different degradation states, an energy entropy model is built based on energy distributions in different frequency bands. The new PD parameter, i.e. energy entropy, is put forward to reflect PD development process. Then each step change of energy entropy corresponds to the transformation of different degradation states, which was validated effectively through experiments. It provides a new idea to study the development characteristics of oil-paper insulation air-gap discharge.

Key words： Air-gap discharge insulation degradation energy distribution energy entropy

收稿日期: 2014-10-20 出版日期: 2016-07-12

PACS:

O433

基金资助:国家自然科学基金专项基金创新群体基金（51321063）和南方电网重大科技专项（KJ-2014-170-3）资助

作者简介: 谢波男,1989年生,博士研究生,研究方向为变压器局部放电在线监测与诊断技术。E-mail: xiebo1988@cqu.edu.cn陈伟根男,1967年生,教授,博士生导师,长江学者,研究方向为电气设备在线智能监测及诊断技术。E-mail: weigench@cqu.edu.cn

引用本文:

谢, 波, 陈伟根, 崔, 鲁, 李永森. 油纸绝缘气隙放电发展能量熵特征研究[J]. 电工技术学报, 2016, 31(12): 58-64. Xie Bo, Chen Weigen, Cui Lu, Li Yongsen. Energy Entropy Feature Research in Air-Gap Discharge Development Process of Oil-Immersed Paper Insulation. Transactions of China Electrotechnical Society, 2016, 31(12): 58-64.

链接本文:

https://dgjsxb.ces-transaction.com/CN/Y2016/V31/I12/58

[1] 陈伟根, 杜杰, 凌云, 等. 基于能量-小波矩特征分析的油纸绝缘气隙放电过程划分[J]. 仪器仪表学报, 2013, 34(5): 1062-1069.
Chen Weigen, Du Jie, Ling Yun, et al. Air-gap discharge process partition in oil-paper insulation based on energy-wavelet moment feature analysis[J]. Chinese Journal of Scientific Instrument, 2013, 34(5): 1062-1069.
[2] Saha T K. Review of modern diagnostic techniques for assessing insulation condition in aged trans- formers[J]. IEEE Transactions on Dielectrics and Electrical Insulation, 2003, 10(5): 903-917.
[3] Stone G C, Warren V. Effect of manufacturer, winding age and insulation type on stator winding partial discharge levels[J]. IEEE Electrical Insula- tion Magazine, 2004, 20(5): 13-17.
[4] 李剑, 孙才新, 杜林, 等. 局部放电图像组合特征提取方法[J]. 高电压技术, 2004, 30(6): 11-13.
Li Jian, Sun Caixin, Du Lin, et al. Method for extraction combination features of partial discharge images[J]. High Voltage Engineering, 2004, 30(6): 11-13.
[5] Yazici B. Statistical pattern analysis of partial discharge measurements for quality assessment of insulation systems in high-voltage electrical mach- inery[J]. IEEE Transactions on Industry Appli- cations, 2004, 40(6): 1579-1594.
[6] Satish L, Zaengl W S. Can fractal features be used for recognizing 3-d partial discharge patterns[J]. IEEE Transactions on Dielectrics and Electrical Insulation, 1995, 2(3): 352-359.
[7] Kranz H G. PD pulse sequence analysis and its relevance for on-site PD defect identification and evaluation[J]. IEEE Transactions on Dielectrics and Electrical Insulation, 2005, 12(2): 276-284.
[8] 廖瑞金, 杨丽君, 孙才新, 等. 基于局部放电主成分因子向量的油纸绝缘老化状态统计分析[J]. 中国电机工程学报, 2006, 26(14): 114-119.
Liao Ruijin, Yang Lijun, Sun Caixin, et al. Aging condition assessment of oil-paper based on principal component and factor analysis of partial discharge[J]. Proceedings of the CSEE, 2006, 26(14): 114-119.
[9] 唐炬, 樊雷, 张晓星, 等. 用谐波小波包变换法提取GIS局部放电信号多尺度特征参数[J]. 电工技术学报, 2015, 30(3): 250-257.
Tang Ju, Fan Lei, Zhang Xiaoxing, et al. Multi-scale feature parameters extraction of GIS partial discharge signal with harmonic wavelet packet transform[J]. Transactions of China Electrotechnical Society, 2015, 30(3): 250-257.
[10] 尚海昆, 苑津莎, 王瑜, 等. 基于交叉小波变换和相关系数矩阵的局部放电特征提取[J]. 电工技术学报, 2014, 29(4): 274-281.
Shang Haikun, Yuan Jinsha, Wang Yu, et al. Feature extraction for partial discharge based on cross- wavelet transform and correlation coefficient matrix[J]. Transactions of China Electrotechnical Society, 2014, 29(4): 274-281.
[11] 李剑, 王小维, 金卓睿, 等. 变压器局部放电超高频信号多尺度网格维数的提取与识别[J]. 电网技术, 2010, 34(2): 159-163.
Li Jian, Wang Xiaowei, Jin Zhuorui, et al. Multi- scale grid dimension extraction and recognition of ultra-high frequency signals of transformer partial discharge[J]. Power System Technology, 2010, 34(2): 159-163.
[12] 弓艳朋, 刘有为, 吴立远. 采用分形和支持向量机的气体绝缘组合电器局部放电类型识别[J]. 电网技术, 2011, 35(3): 135-139.
Gong Yanpeng, Liu Youwei, Wu Liyuan. Identifi- cation of partial discharge in gas insulated switch- gears with fractal theory and support vector machine[J]. Power System Technology, 2011, 35(3): 135-139.
[13] 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.
[14] 陈伟根, 蔚超, 凌云, 等. 油纸绝缘气隙放电特征信息提取及其过程划分[J]. 电工技术学报, 2011, 26(4): 7-12.
Chen Weigen, Wei Chao, Ling Yun, et al. Feature information extraction of air-gap discharge in oil-paper insulation and its process partition[J]. Transactions of China Electrotechnical Society, 2011, 26(4): 7-12.
[15] 张淑清, 马跃, 李盼, 等. 基于改进的广义谐波小波包分解和混沌振子的小电流接地系统故障选线[J]. 电工技术学报, 2015, 30(3): 13-20.
Zhang Shuqing, Ma Yue, Li Pan, et al. Application of improved generalized harmonic wavelet packet decomposition and chaos oscillator to fault line detection in small current grounding system[J]. Transactions of China Electrotechnical Society, 2015, 30(3): 13-20.