Journal of Shandong University(Engineering Science) ›› 2026, Vol. 56 ›› Issue (1): 158-168.doi: 10.6040/j.issn.1672-3961.0.2024.174

• Electrical Engineering • Previous Articles    

Research on localized moisture of transformer oil paper insulation based on hybrid equivalent circuit

LIN Zhiyong1,2, PENG Mingcheng1,2, DENG Dongping3, LI Ronghua1,2, HUANG Guotai4   

  1. LIN Zhiyong1, 2, PENG Mingcheng1, 2, DENG Dongping3, LI Ronghua1, 2, HUANG Guotai4(1. College of Electrical Engineering and Automation, Xiamen University of Technology, Xiamen 361024, Fujian, China;
    2. Xiamen Key Laboratory of Frontier Electric Power Equipment and Intelligent Control, Xiamen University of Technology, Xiamen 361024, Fujian, China;
    3. State Grid Zhangping Electric Power Supply Company, Zhangping 364400, Fujian, China;
    4. Fujian Provincial Electric Power Materials Co., Ltd., Fuzhou 350003, Fujian, China
  • Published:2026-02-03

Abstract: Considered the limitations of existing extended Debye equivalent circuit in polarization research of transformer oil paper insulation interface, this paper built a hybrid equivalent circuit model, combined with particle swarm optimization algorithm for equivalent circuit parameter identification, and constructed a hybrid equivalent circuit that accurately reflected transformer insulation aging. The paper analyzed the influence of variation of middle time constant branch parameters in the equivalent circuit of the hybrid model and the extended Debye model on the return voltage polarization spectrum. Furthermore, the relationship between the hybrid branch and the dampening mechanism of oil-paper insulation in the transformer was studied. The results indicated that:compared with the extended Debye equivalent circuit, the hybrid equivalent circuit was more effective in characterizing the interface polarization characteristics of oil-paper, and the hybrid equivalent circuit could more effectively reflected the local peak of the recovery voltage polarization spectrum caused by local moisture of the transformer. Moreover, the average time constant of the hybrid branch had a good functional relationship with the sub-time constant of return voltage polarization spectrum, which was an effective way to studied local dampness of transformer insulation, and it could provide a new idea for the research on the local dampness of transformer insulation.

Key words: hybrid circuit, recovery voltage, main time constant, local peak, local dampness

CLC Number: 

  • TM411
[1] ZHAO M Q, ZHANG B, LI J F, et al. Molecular dynamics study on the diffusion behavior of water molecules and the dielectric constant of vegetable/mineral oil blends[J]. Molecules, 2023, 28(3): 1067.
[2] 林朝明, 林超群, 叶晨欣, 等. 油纸绝缘混联模型含水率定量评估参数的提取及研究[J]. 绝缘材料, 2022, 55(5): 115-122. LIN Chaoming, LIN Chaoqun, YE Chenxin, et al. Extraction and research of water content quantitative evaluation parameters in hybrid model for oil-paper insulation[J]. Insulating Materials, 2022, 55(5): 115-122.
[3] 杜伯学, 姜金鹏. 换流变压器油纸绝缘水分对局部放电行为的影响综述[J]. 高电压技术, 2021, 47(8): 2932-2945. DU Boxue, JIANG Jinpeng. Research progress on influence of water content of oil-paper insulation on partial discharge of converter transformer[J]. High Voltage Engineering, 2021, 47(8): 2932-2945.
[4] LIAO R J, LIU J F, YANG L J, et al. Quantitative analysis of insulation condition of oil-paper insulation based on frequency domain spectroscopy[J]. IEEE Transactions on Dielectrics and Electrical Insulation, 2015, 22(1): 322-334.
[5] SETAYESHMEHR A, FOFANA I, EICHLER C, et al. Dielectric spectroscopic measurements on transformer oil-paper insulation under controlled laboratory conditions[J]. IEEE Transactions on Dielectrics and Electrical Insulation, 2008, 15(4): 1100-1111.
[6] 尹小兵, 郝长金, 黎成林, 等. 基于回复电压法的变压器绝缘纸水分及绝缘状态研究[J]. 高压电器, 2017, 53(11): 152-158. YIN Xiaobing, HAO Changjin, LI Chenglin, et al. Research on moisture content and insulation state of oil-paper for transformer based on return voltage measurement[J]. High Voltage Apparatus, 2017, 53(11): 152-158.
[7] SAHA T K, PURKAIT P. Investigation of polarization and depolarization current measurements for the assessment of oil-paper insulation of aged transformers[J]. IEEE Transactions on Dielectrics and Electrical Insulation, 2004, 11(1): 144-154.
[8] 张明泽, 刘骥, 齐朋帅, 等. 基于介电响应技术的变压器油纸绝缘含水率数值评估方法[J]. 电工技术学报, 2018, 33(18): 4397-4407. ZHANG Mingze, LIU Ji, QI Pengshuai, et al. Numerical evaluation method for moisture content of transformer oil-paper insulation based on dielectric response technique[J]. Transactions of China Electrotechnical Society, 2018, 33(18): 4397-4407.
[9] 邹阳, 李安娜, 蔡金锭. 混联等效电路在油纸绝缘老化诊断的应用[J]. 电子测量与仪器学报, 2015, 29(3): 383-389. ZOU Yang, LI Anna, CAI Jinding. Application of parallel-series equivalent circuit in aging diagnosis for oil-paper insulation[J]. Journal of Electronic Measurement and Instrument, 2015, 29(3): 383-389.
[10] 李安娜, 蔡金锭. 油纸绝缘系统混联等效电路及参数辨识的研究[J]. 仪器仪表学报, 2014, 35(9): 2130-2136. LI Anna, CAI Jinding. Study on parallel-series equivalent circuit and parameters identification of oil-paper insulation system[J]. Chinese Journal of Scientific Instrument, 2014, 35(9): 2130-2136.
[11] 傅泽坤. 基于mRMR方法的油浸式变压器介电响应特征量优选理论及绝缘状态研究[D]. 福州: 福州大学, 2020: 11-38. FU Zekun. Optimization theory of dielectric response characteristics and insulation state of oil immersed transformer based on mRMR method[D]. Fuzhou: Fuzhou University, 2020: 11-38.
[12] 曾光. 变压器德拜模型的RVM法分析及粒子群优化算法研究[J].自动化仪表, 2020, 41(5): 58-64. ZENG Guang. Analysis of RVM method and study of particle swarm optimization algorithm for Debye model in transformer[J]. Process Automation Instrumentation, 2020, 41(5): 58-64.
[13] 张涛, 钟婷婷, 张斌, 等. 评估变压器油纸绝缘受潮的电压响应方法研究[J].电测与仪表, 2019, 56(9): 38-42. ZHANG Tao, ZHONG Tingting, ZHANG Bin, et al. Study on voltage response method for evaluating moisture status of transformer oil-paper insulation[J]. Electrical Measurement & Instrumentation, 2019, 56(9): 38-42.
[14] 余浩, 黄彦钦, 尹钧毅, 等. 基于介电响应特性的油浸式电力变压器绝缘状态评估研究进展[J]. 电气工程学报, 2020, 15(4): 1-17. YU Hao, HUANG Yanqin, YIN Junyi, et al. Review progress on insulation condition assessment of oil immersed power transformer based on dielectric response characteristics[J]. Journal of Electrical Engineering, 2020, 15(4): 1-17.
[15] LIU J F, FAN X H, ZHANG Y Y, et al. Temperature correction to dielectric modulus and activation energy prediction of oil-immersed cellulose insulation[J]. IEEE Transactions on Dielectrics and Electrical Insulation, 2020, 27(3): 956-963.
[16] 马万里, 田付强, 熊雯雯, 等. 环氧树脂/氮化硼微纳米复合材料的导热与电气绝缘性能研究[J]. 绝缘材料, 2019, 52(7): 36-42. MA Wanli, TIAN Fuqiang, XIONG Wenwen, et al. Thermal conductivity and electrical insulation properties of epoxy/BN micro and nano composites[J]. Insulating Materials, 2019, 52(7): 36-42.
[17] 雷茂杰, 许坦奇, 孟凡英. 基于自适应粒子群算法的MPPT控制策略[J].电源技术, 2021, 45(8): 1036-1039. LEI Maojie, XU Tanqi, MENG Fanying. MPPT control strategy based on adaptive particle swarm optimization algorithm[J]. Chinese Journal of Power Sources, 2021, 45(8): 1036-1039.
[18] 石延辉, 杨洋, 廖毅, 等. 基于改进粒子群算法优化SVM的变压器故障诊断[J].武汉大学学报(工学版), 2023, 56(10): 1238-1244. SHI Yanhui, YANG Yi, LIAO Yi, et al. Transformer fault diagnosis based on improved particle swarm optimization SVM[J]. Engineering Journal of Wuhan University, 2023, 56(10): 1238-1244.
[19] 程声烽, 程小华, 杨露. 基于改进粒子群算法的小波神经网络在变压器故障诊断中的应用[J]. 电力系统保护与控制, 2014, 42(19): 37-42. CHENG Shengfeng, CHENG Xiaohua, YANG Lu. Application of wavelet neural network with improved particle swarm optimization algorithm in power transformer fault diagnosis[J]. Power System Protection and Control, 2014, 42(19): 37-42.
[20] 邹阳. 变压器油纸绝缘弛豫响应特性建模及老化诊断研究[D]. 福州: 福州大学, 2019: 39-64. ZOU Yang. Modeling and aging diagnosis of transformer oil paper insulation relaxation response characteristics[D]. Fuzhou: Fuzhou University, 2019: 39-64.
[21] 江修波, 张涛, 黄彦婕. 变压器油纸绝缘极化谱的仿真研究[J]. 电力自动化设备, 2011, 31(2): 31-35. JIANG Xiubo, ZHANG Tao, HUANG Yanjie. Simulation of transformer insulation polarization spectrum[J]. Electric Power Automation Equipment, 2011, 31(20): 31-35.
[22] 张涛. 基于回复电压特征量的变压器油纸绝缘状态诊断研究[D]. 福州: 福州大学, 2014: 54-80. ZHANG Tao. Research on diagnosis of oil-paper insulation condition in transformer based on return voltage characteristic quantities[D]. Fuzhou: Fuzhou University, 2014: 54-80.
[1] Zhiyong LIN,Damin ZHANG,Xungao ZHONG,Jianbin ZENG,Qiang ZHANG. Analysis of insulation state of transformer based on aging factor [J]. Journal of Shandong University(Engineering Science), 2019, 49(1): 114-119.
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