基于振动感知的油浸式电抗器松动故障检测方法

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振动与冲击 ›› 2022, Vol. 41 ›› Issue (11) : 42-49.

论文

高树国1，张明文2，吴书煜3，孟令明1，汲胜昌3

作者信息 +

Loose fault detection method of oil immersed reactor based on vibration perception

GAO Shuguo1, ZHANG Mingwen2, WU Shuyu3, MENG Lingming1, JI Shengchang3

Author information +

文章历史 +

摘要

高压并联电抗器的振动信号含有丰富信息，可以反映电抗器内部机械状态。针对一台10kV高压并联电抗器搭建振动测试平台，首先，应用最小二乘法对不同电压等级下的振动主频率进行曲线拟合，以R-square描述拟合曲线与实测值之间的线性度，从而确定最佳测点；然后，在最佳测点选择的基础上，提出了基于多参量融合的电抗器故障检测与诊断方法。研究结果表明，电抗器振动频率以100Hz及其倍频为主，振动大的区域主要集中于油箱四个边角，中部区域线性拟合度较高，振动特征矩阵可以反映松动故障变化规律，诊断方法具有较高的正确率。所提方法可以作为检测高压并联电抗器机械状态的手段以及为高压并联电抗器长期振动在线监测提供诊断依据。

Abstract

The vibration signal of high voltage shunt reactor contains rich information, which can reflect the internal mechanical condition of the reactor. A vibration test platform for a 10kV high voltage shunt reactor is built. Firstly, apply the least square method to curve fitting the main frequency under different voltage levels, and use R-square to describe the linearity between the fitted curve and the measured value, so as to determine the best measuring point. Then, based on the selection of the best measuring point, the reactor fault detection and diagnosis method based on multi-parameter fusion is proposed. The research results show that the vibration frequency of the reactor is mainly 100Hz and its multiple frequency. The areas with large vibration are mainly concentrated in the four corners of the oil tank, and the linearity of the middle area is high. The vibration characteristic matrix can reflect the variation law of the loose fault, and the diagnosis method has a high accuracy. The proposed method can be used as a means to detect the mechanical condition of high voltage shunt reactor and provide a diagnostic basis for long-term online vibration monitoring of high volt-age shunt reactor.

导出引用

高树国1，张明文2，吴书煜3，孟令明1，汲胜昌3. 基于振动感知的油浸式电抗器松动故障检测方法[J]. 振动与冲击, 2022, 41(11): 42-49

GAO Shuguo1, ZHANG Mingwen2, WU Shuyu3, MENG Lingming1, JI Shengchang3. Loose fault detection method of oil immersed reactor based on vibration perception[J]. Journal of Vibration and Shock, 2022, 41(11): 42-49

参考文献

[1] 杨定乾，马勤勇，项阳，等.超高压并联电抗器轴向振动下悬浮放电相位特征分析[J].电工技术学报，2018，33(24)：5830-5837.
YANG Dingqian, MA Qinyong, XIANG Yang, et al. Analysis on phase characteristics of floating discharge of extra high voltage shunt reactor under axial vibration[J]. Transactions of China Electrotechnical Society, 2018, 33(24): 5830-5837.
[2] 孙宇晗，程永锋，卢智成，等. 170 kV中性点电抗器地震模拟振动台试验研究[J]. 振动与冲击，2018，37(12)：229-234.
SUN Yuhan, CHENG Yongfeng, LU Zhicheng, et al. Earthquake simulation shaking table for a 170kV neutral reactor[J]. Journal of Vibration and Shock, 2018, 37(12): 229-234.
[3] 周兵，王延召，胡静竹，等.并联电抗器振动特性及声功率级计算[J].高电压技术，2019，45(11)：3685-3692.
ZHOU Bing, WANG Yanzhao, HU Jingzhu, et al. Vibration characteristics and acoustic power level calculation of shunt reactors[J]. High Voltage Engineering, 2019, 45(11): 3685-3692.
[4] 王磊磊，张嵩阳，姚德贵，等.变电站铁心电抗器振动与可听噪声研究综述[J]. 高压电器，2019，55(11)：26-33.
WANG Leilei，ZHANG Songyang，YAO Degui, et al. Vibration and audible noise of iron-core reactor in substation: a review[J]. High Voltage Apparatus, 2019, 55(11): 26-33.
[5] 侯鹏飞，马宏忠，吴金利，等.基于混沌理论与蝗虫优化K-means聚类算法的电抗器铁芯和绕组松动状态监测[J].电力自动化设备，2020，40(11)：181-187.
HOU Pengfei, MA Hongzhong, WU Jinli, et al. Looseness status monitoring of reactor core and winding based on chaos theory and K-means clustering algorithm optimized by grasshopper algorithm[J]. Electric Power Automation Equipment, 2020, 40(11): 181-187.
[6] Yanhui Gao, KazuhiroMuramatsu, Muhd Juzail Hatim, et al. Design of a reactor driven by inverter power supply to reduce the noise considering electromagnetism and magnetostriction[J]. IEEE Transactions on Magnetics, 2010, 46(6): 2179-2182.
[7] 闫荣格，赵路娜，贲彤，等.70基于负超磁致伸缩效应电抗器减振新方法的研究[J].振动与冲击，2018，37(19)：254-258.
YAN Rongge, ZHAO Luna, BEN Tong, et al. A new vibration reduction method for reactors using NGMM[J]. Journal of Vibration and Shock, 2018, 37(19): 254-258.
[8] Ben Tong, Yang Qingxin, Yan Rongge, et al. Research on characteristics of shunt reactor considering magnetization and magnetostrictive anisotropy[J]. IEEE Transactions on Magnetics, 2018, 54(3): 8400104.
[9] 吴书煜，马宏忠，姜宁，等.基于多物理场耦合的特高压并联电抗器振动噪声仿真分析与实验研究[J].电力自动化设备，2020，40(03)：122-127.
WU Shuyu, MA Hongzhong, JING Ning, et al. Simulation analysis and experimental research on vibration and noise of UHV shunt reactor based on multi physical field coupling[J]. Electric Power Automation Equipment, 2020, 40(03): 122-127.
[10] 律方成，郭佳熠，程涣超，等．计及铁心叠片规则与流-固耦合的特高压并联电抗器铁心振动计算方法[J/OL]．电网技术： 1-11[2020-03-19].https://doi.org/10.13335/j.1000-3673.pst.2019.2503.
LV Fangcheng, GUO Jiayi, CHENG Huanchao, et al. Calculation method of UHV shunt reactor core vibration considering core lamination rules and fluid-solid coupling[J]. Power System Technology:1-11[2020-03-19].https://doi.org/10.
13335/j.1000-3673.pst.2019.2503.
[11] 张鹏宁，李琳，聂京凯，等.考虑铁心磁致伸缩与绕组受力的高压并联电抗器振动研究[J].电工技术学报，2018，33(13)：3130-3139.
ZHANG Pengning, LI Lin, NIE Jingkai, et al. Study on the Vibration of high voltage shunt reactor considering of magnetostriction and winding force[J]. Transactions of China Electrotechnical Society, 2018, 33(13): 3130-3139.
[12] 谭黎军，陈洪波，欧强，等. 特高压并联电抗器运行振动与噪声特性研究[J].变压器，2016，53(07)：43-46.
TAN Lijun, CHEN Hongbo, OU Qiang, et al. Research on vibration and noise characteristics of UHV shunt reactor[J]. Transformer, 2016, 53(7): 43-46.
[13] 周兵，王延召，胡静竹，等.基于振动测量的并联电抗器声场计算[J].高压电器，2019，55(11)：105-112.
ZHOU Bing, WANG Yanzhao, HU Jingzhu, et al. Sound field calculation of shunt reactor based on vibration measurement[J]. High Voltage Apparatus, 2019, 55(11): 105-112.
[14] 闫荣格，张晓杰．考虑ΔE效应的磁控电抗器振动特性分析[J/OL].电工电能新技：1-8[2020-03-19].http://kns.cnki.net/kcms
/detail/11.2283.TM.20191213.0841.002.html.
YAN Rongge, ZHANG Xiaojie. Vibration analysis of magnetic controllable reactor considering the ΔE effect[J]. Advanced Technology of Electrical Engineering and Energy:1-8[2020-03-19].http://kns.cnki.net/kcms/detail/11.2283.TM.20191213.0841.002.html.
[15] 汲胜昌，程锦，李彦明.油浸式电力变压器绕组与铁心振动特性研究[J].西安交通大学学报，2005，39(06)：616-619+658.
JI Shengchang, CHEN Jin, LI Yanming. Research on vibration characteristics of windings and core of oil-filled transformer[J]. Journal of Xi'an Jiaotong University, 2005, 39(6): 616-619.
[16] 田聪，李琳，宋雅吾，等.并联电抗器铁心振动的模实验与仿真研究[J].电工电能新技术，2018 ，37(3)：64-70.
TIAN Cong, LI Lin, SONG Yawu, et al. Model experiment and simulation of core vibration for shunt reactor[J]. Advanced Technology of Electrical Engineering and Energy, 2018，37(3) : 64-70.
[17] 汲胜昌，王世山，李清泉，等.用振动信号分析法监测变压器绕组状况[J].高电压技术，2002，28(04)：12-13+15.
JI Shengchang, WANG Shishan, LI Qingquan, et al. The application of vibration method in monitoring the condition of transformer winding[J]. High Voltage Engineering, 2002, 28(4): 12-13+15.
[18] 徐方，邵宇鹰，金之俭，等.变压器振动测点位置选择试验研究[J].华东电力，2012，40(02)：274-277.
XU Fang, SHAO Yuying, JIN Zhijian, et al. Experimental study of measuring point selection for transformer vibration detection[J]. East China Electric Power, 2012, 40(2): 274-277.
[19] 魏旭，吴书煜，姜宁，等.高压电抗器振动特性及实验分析[J].高压电器，2019，55(11)：66-73.
WEI Xu, JIANG Ning, WU Shuyu, et al. Vibration characteristics and experimental analysis of high voltage reactor[J]. High Voltage Apparatus, 2019, 55(11): 66-73.
[20] HUANG N E，SHEN Z，LONG S, et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non- stationary time series analysis[J]. Proceedings of the Royal Society of London series A, 1998.454: 903-995.
[21] 周求宽，王丰华，万军彪，等．应用优化限制带宽经验模态分解法识别电力变压器绕组模态参数［J］．振动与冲击，2014，33(13)：169-175．
ZHOU Qiukuan, WANG Fenghua, WAN Junbiao, et al. Modal parameter identification of power transformer winding based on optimized restricted band empirical mode decomposition[J]. Journal of Vibration and Shock, 2014, 33(13): 169-175．
[22] 王秀振，钱永久，宋帅. 基于随机森林和最小角回归的结构地震需求重要性度量分析［J］．振动与冲击，2019，38(4)：115-120．
WANG Xiuzhen, QIAN Yongjiu, SONG Shuai. An analysis of the importance of structural earthquake demand based on random forest and least angle regression[J]. Journal of Vibration and Shock, 2019, 38(4): 115-120.
[23] 邓带雨，李坚，张真源，等. 基于EEMD-GRU-MLR的短期电力负荷预测[J].电网技术，2020，44(02)：593-602.
DENG Daiyu, LI Jian, ZHANG Zhenyuan, et al. Short-term electric load forecasting based on EEMD-GRU-MLR[J]. Power System Technology, 2020, 44(2): 593-602.