376 / 2022-03-15 17:32:34
Analysis on the Influence of the DC bias on spatial magnetic leakage flux in the transformer
DC biasing,magnetic leakage flux,transformer,core saturation
终稿
Yuping Zheng / NARI Group Corporation, Nanjing 211106, China;State Key Laboratory of Smart Grid Protection and Control,Nanjing 211106, China
Shuyan Pan / NARI Group Corporation, Nanjing 211106, China;State Key Laboratory of Smart Grid Protection and Control,Nanjing 211106, China
Yu Xia / NARI Group Corporation, Nanjing 211106, China;State Key Laboratory of Smart Grid Protection and Control,Nanjing 211106, China
Xi Ouyang / State Key Laboratory of Power Transmission Equipment & System Security and New Technology
Hujun Shang / State Key Laboratory of Power Transmission Equipment & System Security and New Technology
Quan Zhou / China;State Key Laboratory of Power Transmission Equipment & System Security and New Technology;Chongqing University Chongqing
Magnetic flux leakage, as a basic physical parameter in power transformer, can be utilized to characterize the status of the winding. And the DC biasing, as a common abnormal operation condition, is caused by solar storms, DC power transmission and some railway power transmission. It can induce the current bias and the core saturation, further changing the distribution of the magnetic flux leakage. Therefore, it is significant and valuable to analyze the effect of DC biasing on spatial magnetic leakage flux. In the paper, we design a transformer finite element model with its physical field-circuit simulation module. The model with some detailed winding structure can obtain the accurate magnetic field signal. Then the effect of different degrees DC biasing on the magnetic leakage flux is analyzed in the inner key positions. And the 10kV shrunken experimental transformer imitating the 110kV transformer is selected as the research object. Depending on the experimental platform, we obtain the actual magnetic field signals and explore the incidence relation between the magnetic leakage flux and the DC biasing.
重要日期
  • 会议日期

    09月25日

    2022

    09月29日

    2022

  • 08月15日 2022

    提前注册日期

  • 09月10日 2022

    报告提交截止日期

  • 11月10日 2022

    注册截止日期

  • 11月30日 2022

    初稿截稿日期

  • 11月30日 2022

    终稿截稿日期

主办单位
IEEE DEIS
承办单位
Chongqing University
移动端
在手机上打开
小程序
打开微信小程序
客服
扫码或点此咨询