Online Detecting Method for Transformer Winding Deformation Based on Current Extraction

被引:0
|
作者
Zhang Ning [1 ]
Zhang Meng [1 ]
Zhang Yuan-yuan [1 ]
Zhu Yong-li [1 ]
机构
[1] North China Elect Power Univ, Sch Elect & Elect Engn, Beijing, Peoples R China
关键词
Transformer winding deformation; Online detection; Higher harmonic; FRA;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Transformer winding deformation is common in transformer faults. Offline monitoring is mostly used in diagnosis of winding deformation, which has some limitations. So an online detecting method based on extraction of current is proposed. The method increases the higher harmonic of the current that flows into the input end of transformer appropriately. This higher harmonic is regarded as sweep frequency source. Current flowing into the input and outlet end of transformer is measured. And high frequency components are extracted to structure response curves. Transformer winding deformation is diagnosed through the analysis of response curves. The simulation results showed that winding deformation can be reflected effectively in this method.
引用
收藏
页码:1938 / 1943
页数:6
相关论文
共 50 条
  • [21] A Winding Deformation Detection Method based on Identification of the Nonlinear Vibration System of Transformer
    Zheng Jing
    Huang Hai
    Pan Jie
    Li Lingzhi
    Hu Yiwei
    Zhang Jiangong
    PROCEEDINGS OF THE 2017 12TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA), 2017, : 1909 - 1914
  • [22] Method of on-line monitoring of transformer winding deformation based on parameter identification
    Deng, Xiangli, 1600, Chinese Society for Electrical Engineering (34):
  • [23] Study on detecting winding deformation in transformers with FRA method
    He, Wenlin
    Chen, Jinfa
    Ying, Gaoliang
    Wang, Jiqing
    Zhongguo Dianli/Electric Power, 2000, 33 (12): : 39 - 42
  • [24] Research on Transformer Winding Deformation and Winding Resistance
    Ling, Chen
    Shi, Puxin
    Quan, Yusheng
    Xiang, Tiantang
    2016 INTERNATIONAL CONFERENCE ON POWER ENGINEERING & ENERGY, ENVIRONMENT (PEEE 2016), 2016, : 120 - 126
  • [25] Transformer Winding Deformation Fault Diagnose Based on FRA and Energy Feature Extraction by Wavelet Packet
    Qian, Suxiang
    Du, Qi
    Gu, Xiaojun
    Song, Jiayou
    MECHATRONICS AND INTELLIGENT MATERIALS II, PTS 1-6, 2012, 490-495 : 1486 - +
  • [26] Study on Nanosecond Impulse Frequency Response for Detecting Transformer Winding Deformation Based on Morlet Wavelet Transform
    Wu, J. J.
    Huang, J. J.
    Qian, T.
    Tang, W. H.
    2018 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON), 2018, : 3479 - 3484
  • [27] Research on integration of transformer protection and on-line detecting winding deformation based on equivalent circuit equation
    Hao Zhi-Guo
    Zhang Bao-Hui
    Li Peng
    Chu Yun-Long
    2006 INTERNATIONAL CONFERENCE ON POWER SYSTEMS TECHNOLOGY: POWERCON, VOLS 1- 6, 2006, : 1385 - +
  • [28] Study on Spectrum Eigenvalues of Transformer Vibration and its Application on Winding Deformation Detecting
    Li, Yaning
    Wang, Kun
    Shi, Tengfei
    Zhu, Xiaoyan
    Yu, Hong
    2016 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, 2016, : 2024 - 2029
  • [29] Transformer Winding Deformation Detection Based on BOTDR and ROTDR
    Gao, Shuguo
    Liu, Yunpeng
    Li, Huan
    Sun, Lu
    Liu, Hongliang
    Rao, Qun
    Fan, Xiaozhou
    SENSORS, 2020, 20 (07)
  • [30] Transformer Winding Deformation Diagnosis Based on Signal Distance
    Li, Shengmin
    Zhao, Dan
    He, Yuanyuan
    2019 22ND INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS 2019), 2019, : 2015 - 2020