葛利宏¹,李丹阳²,胡学超²,关瑾²,陈峣³,钱江波³
GE Lihong¹, LI Danyang², HU Xuechao², GUAN Jin², CHEN Yao³, QIAN Jiangbo³

• 1:内蒙古电力 (集团) 有限责任公司，呼和浩特 010010
• 2:内蒙古电力 (集团) 有限责任公司内蒙古电力科学研究院分公司，呼和浩特 010020
• 3:华北电力大学，河北 保定 071000

摘要(Abstract)：

针对变压器绝缘油微水测量不准确造成的变压器故障，通过理论推导、数值仿真和实验测量，设计了λ/2微波同轴谐振腔传感器，利用HFSS仿真软件对同轴谐振腔进行仿真设计，同时进行了绝缘油微水测量实验，得出当微水体积分数小于50×10^-6时，测量误差在2%以内，验证了同轴谐振腔传感器测量变压器绝缘油微水的可行性，实现了绝缘油微水的精准监测。
Aiming at the transformer faults caused by inaccurate measurement of the insulating oil moisture content in the transformer, a λ/2 microwave coaxial resonator sensor is designed through theoretical derivation, numerical simulation and experimental measurement. At the same time, HFSS simulation software is used to simulate and design the coaxial resonator, and the insulating oil moisture measurement experiment is carried out. The results show that when the moisture content is less than 50×10^-6, the measurement error is less than 2%, which verifies the feasibility of measuring transformer insulating oil moisture with coaxial cavity sensor and realizes accurate monitoring of insulating oil moisture.

关键词(KeyWords)： 变压器;绝缘油;微水测量;同轴谐振腔;介电常数
transformer;insulating oil;moisture measurement;coaxial resonator;dielectric constant

Abstract:

Keywords:

基金项目(Foundation): 内蒙古电力（集团）有限责任公司科技项目“基于微波测量技术的电力变压器绝缘油微水在线监测系统开发”（2022-34）

作者(Author): 葛利宏¹,李丹阳²,胡学超²,关瑾²,陈峣³,钱江波³
GE Lihong¹, LI Danyang², HU Xuechao², GUAN Jin², CHEN Yao³, QIAN Jiangbo³

DOI: 10.19929/j.cnki.nmgdljs.2023.0045

参考文献(References)：

• [1] 王伟, 董文妍, 蒋达, 等.基于分子模拟技术的变压器油纸绝缘老化研究综述[J].绝缘材料, 2018, 51(5):7-17. WANG Wei, DONG Wenyan, JIANG Da, et al. Research review of transformer oil-paper insulation aging based on molecular simulation technology[J]. Insulating Materials, 2018, 51(5):7-17.
  [2] 邓珺.配电变压器常见故障及维护管理研究[J].科技风, 2020(4):185.
  [3] 刘浩军, 蔺家骏, 郑一鸣, 等.一起交流特高压电抗器套管的油中溶解气体异常分析[J].浙江电力, 2020, 39(12):129-134. LIU Haojun, LIN Jiajun, ZHENG Yiming, et al. Abnormal analysis of dissolved gas in oil of an AC EHV reactor bushing together[J]. Zhejiang Electric Power, 2020, 39(12):129-134.
  [4] 樊艳芳, 王永进.基于Hilbert能量幅值信息和波形信息的特高压直流输电线路单端保护方法[J].电工技术学报, 2021, 36(9):1818-1830. FAN Yanfang, WANG Yongjin. Single-ended protection method for UHVDC transmission lines based on Hilbert energy amplitude information and waveform information[J]. Transactions of China Electrotechnical Society, 2021, 36(9):1818-1830.
  [5] 曾非同, 关向雨, 黄以政, 等.基于多尺度多物理场的油浸式变压器流动-传热数值研究[J].电工技术学报, 2020, 35(16):3436-3444. ZENG Feitong, GUAN Xiangyu, HUANG Yizheng, et al. Numerical study on flow-heat transfer of oil-immersed transformers based on multi-scale and multi-physical fields[J]. Transactions of China Electrotechnical Society, 2020, 35(16):3436-3444.
  [6] 马冯挺.探讨特高压直流输电技术现状及在我国的应用前景[J]. 电力设备管理, 2021(1):43-44, 65. MA Fengting. Exploring the current situation of ultra-high voltage DC transmission technology and its application prospect in China[J]. Electric Power Equipment Management, 2021(1):43-44, 65.
  [7] 龙葵, 李秋惠, 周潮, 等.浅谈天然酯绝缘油配变不同绝缘系统应用[J].变压器, 2021, 58(4):47-50. LONG Kui, LI Qiuhui, ZHOU Chao, et al. Distribution transformer with application of different insulation systems in natural ester insulating oil[J]. Transformer, 2021, 58(4):47-50.
  [8] 刘昌, 邵山峰, 廖瑞金, 等.特高压换流变压器绝缘油老化特性研究[J].高电压技术, 2019, 45(3):730-736. LIU Chang, SHAO Shanfeng, LIAO Ruijin, et al. Study on aging characteristics of insulating oil of extra-high voltage converter transformers[J]. High Voltage Engineering, 2019, 45(3):730-736.
  [9] 高竣.基于介电指纹特征识别的变压器主绝缘老化与受潮状态评估研究[D].重庆:重庆大学, 2017.
  [10] 张晓琴, 朱洪斌, 余翔, 等.绝缘油中溶解气体组分含量色谱分析新型取样容器及取样方法的研究[J].绝缘材料, 2017, 50(11):54-58, 62. ZHANG Xiaoqin, ZHU Hongbin, YU Xiang, et al. Study on a novel sampling vessel and sampling method for chromatographic analysis of dissolved gas fraction content in insulating oil[J]. Insulation Materials, 2017, 50(11):54-58, 62.
  [11] LINGVAY I, PATRU I, UNGUREANU L C. Electro-insulating paper degradation in various electro-insulating fluids[J]. Revista De Chimie, 2018, 69(1):91-95.
  [12] LI Guoxing, FU Lijun, WANG Yue, et al. A Study on the Law of Gas Production by Pyrolysis of Mixed Insulating Oil under Simulated Overheating Condition[J]. IOP Conference Series:Earth and Environmental Science, 2021, 696(1):012011.
  [13] 徐晴川, 王圣康, 林福昌, 等.基于时频域介电响应的绝缘油弛豫过程分析[J].电工技术学报, 2022, 37(9):2355-2365. XU Qingchuan, WANG Shengkang, LIN Fuchang, et al. Analysis of insulating oil relaxation process based on time-frequency domain dielectric response[J]. Transactions of China Electrotechnical Society, 2022, 37(9):2355-2365.
  [14] 周利军, 李会泽, 王安, 等.纤维素老化对矿物油浸绝缘纸中水分扩散的影响[J].电工技术学报, 2019, 34(7):1536-1543. ZHOU Lijun, LI Huize, WANG An, et al. Effect of cellulose aging on water diffusion in mineral oil-immersed insulating paper[J]. Transactions of China Electrotechnical Society, 2019, 34(7):1536-1543.
  [15] 赵珩, 杨耀杰, 苗堃, 等.油浸式电力变压器绝缘纸老化特征量的研究进展[J].变压器, 2020, 57(9):38-43. ZHAO Heng, YANG Yaojie, MIAO Kun, et al. Development of 110 kV epoxy cast dry-type power transformer[J]. Transformer, 2020, 57(9):38-43.
  [16] RIGATOS G, SIANO P. Power transformers'condition monitoring using neural modeling and the local statistical approach to fault diagnosis[J]. International Journal of Electrical Power & Energy Systems, 2016, 80(1):150-159.
  [17] 全国石油产品和润滑剂标准化技术委员会石油燃料和润滑剂分技术委员会.电工流体变压器和开关用的未使用过的矿物绝缘油:GB 2536-2011[S].北京:中国标准出版社, 2011.
  [18] 邵洪平, 姜一帆.变压器油中溶解气体判断新方法[J].云南电力技术, 2016, 44(增刊2):168-169. SHAO Hongping, JIANG Yifan. A new method for determining dissolved gas in transformer oil[J]. Yunnan Electric Power, 2016, 44(S2):168-169.
  [19] 陈浩, 鲁旭臣, 郭铁, 等.变压器油中溶解气体分析和故障诊断[J].东北电力技术, 2017, 38(10):29-32. CHEN Hao, LU Xuchen, GUO Tie, et al. Analysis and fault diagnosis of dissolved gas in transformer oil[J]. Northeast Electric Power Technology, 2017, 38(10):29-32.
  [20] 李雅璇.油色谱分析技术在电力变压器故障检测中的应用[J]. 电子技术, 2021, 50(1):138-139. LI Yaxuan. Application of oil chromatography analysis in power transformer fault detection[J]. Electronic Technology, 2021, 50(1):138-139.
  [21] 游毓彬, 兰中文, 高源慈, 等.基于微波谐振腔微扰法测量装置的葡萄糖溶液浓度测试系统[J].磁性材料及器件, 2020, 51(4):38-41. YOU Yubin, LAN Zhongwen, GAO Yuanci, et al. Glucose solution concentration testing system based on microwave resonant cavity perturbation method measurement device[J]. Journal of Magnetic Materials and Devices, 2020, 51(4):38-41.
  [22] 宋春然, 吴立霞, 关瑾, 等.变压器绝缘油在线监测技术分析[J]. 中国高新科技, 2022(4):42-43. SONG Chunran, WU Lixia, GUAN Jin, et al. Analysis of online monitoring technology for transformer insulating oil[J]. China High-Tech, 2022(4):42-43.
  [23] PRAFULL S, LI Y L, GIOIA F. A microwave cavity resonator sensor for water-in-oil measurements[J]. ZHONG GUO GAO XIN KE JI, 2018, 262:200-210.
  [24] 李宗谦, 佘京兆, 高葆新.微波工程基础[M].北京:清华大学出版社, 2004.
  [25] 曹艳杰.微波无线输能关键射频技术的研究[D].北京:北京邮电大学, 2017.
  [26] 彭小苗, 颜锦奎.同轴谐振腔测量片状介质材料的介电常数[J]. 电子测量技术, 2022, 45(17):1-6. PENG Xiaomiao, YAN Jinkui. Coaxial resonant cavity measurement of dielectric constants of sheet dielectric materials[J]. Electronic Measurement Technology, 2022, 45(17):1-6.
  [27] 胡佳林.小型化双同轴多谐振腔体滤波器[D].成都:电子科技大学, 2018.
  [28] Bristol Adam Hilger. Electrical Properties of Biopolymers and Membranes[M]. Philadelphia:Takashima S., 1989:127-129.