Research on Moisture Content Evaluation Method of Transformer Oil-paper Insulation Based on Low Frequency Nonlinearity
编号:63 访问权限:仅限参会人 更新:2022-08-29 11:01:20 浏览:74次 口头报告

报告开始:暂无开始时间(Asia/Shanghai)

报告时间:暂无持续时间

所在会场:[暂无会议] [暂无会议段]

演示文件

提示:该报告下的文件权限为仅限参会人,您尚未登录,暂时无法查看。

摘要
Frequency domain spectroscopy (FDS) has been widely used to evaluate the moisture content of oil-paper insulating materials in recent years. However, due to the differences of actual transformer insulation structure and application scope of characteristic fingerprint library to insulating materials, it can not be effectively applied to the evaluation of damp state of actual transformer on site. To overcome this drawback, we develop a new characteristic parameter called nonlinear coefficient α of U–I characteristic curve to indicate the moisture content in transformer insulation. The results show that under the excitation of 0.01 Hz, α is sensitive to water content, and the fitting relationship is given. By testing the composite insulation system models with different structures, it is found that the FDS curve is greatly affected by the insulation structure, and α It can accurately reflect the moisture content of the insulating paperboard without being affected by the structure, so it can be used as a characteristic parameter to evaluate the moisture content of the main insulation of the transformer.
关键词
oil-paper insulation,dielectric response,low frequency,nonlinear,moisture content
报告人
Yuan Xia
State Key Laboratory of Power Transmission Equipment & System Security and New Technology (Chongqing University)

稿件作者
Yuan Xia State Key Laboratory of Power Transmission Equipment & System Security and New Technology (Chongqing University)
Lijun Yang State Key Laboratory of Power Transmission Equipment & System Security and New Technology (Chongqing University)
Chao Wu China Electric Power Research Institute
Wei Li State Key Laboratory of Power Transmission Equipment & System Security and New Technology (Chongqing University)
发表评论
验证码 看不清楚,更换一张
全部评论
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