Modeling of Frequency Variation Characteristics under Load Side Response of Transformers
编号:48 访问权限:仅限参会人 更新:2023-11-29 20:54:05 浏览:491次 口头报告

报告开始:2023年12月10日 10:30(Asia/Shanghai)

报告时间:15min

所在会场:[S9] Transformer technology and applications [S9] Transformer technology and applications

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摘要
This article takes the laboratory autotransformer as the modeling object, and further optimizes the equivalent model of the transformer by studying the relationship between the equivalent parameters of the transformer winding and frequency. Firstly, the magnetic conductivity characteristics of the transformer core are obtained through numerical calculation. Furthermore, the frequency variation characteristics of the inductance are obtained in finite element software. The effectiveness of the model is verified by comparing the load side response of the transformer measured, without considering frequency variation, and considering frequency variation. The results show that compared with the measured values, the maximum errors of the resonant point frequency considering frequency variation characteristics under normal and axial displacement are 0.1659 and 0.2882, respectively. It can be seen that considering the frequency variation characteristics of the winding can make the frequency response curve obtained through analysis more accurate.
关键词
Autotransformer;Frequency variation characteristics;Frequency response;Resonance point
报告人
Jialei Zang
postgraduate Southwest Jiaotong University

稿件作者
Xin Wang Ltd.;Yunnan Power Grid Co.
Guochao Qian Yunnan Power Grid Co., Ltd. Electric Power Science Research Institute
Shun He Yunnan Power Grid Co.; Ltd. Electric Power Science Research Institute
Hongwen Liu Yunnan Power Grid Co.; Ltd. Electric Power Science Research Institute
Jin Hu Electric Power Research Institute; Ltd; Yunnan Power Grid Co.
Weiju Dai Yunnan Power Grid Co.; Ltd. Electric Power Research Institute
Kun Yang Yunnan Power Grid Co.; Ltd. Electric Power Science Research Institute
Jialei Zang Southwest Jiaotong University
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重要日期
  • 会议日期

    12月08日

    2023

    12月10日

    2023

  • 11月01日 2023

    初稿截稿日期

  • 12月10日 2023

    注册截止日期

主办单位
IEEE IAS
承办单位
Southwest Jiaotong University (SWJTU)
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