Prediction of Induced Voltage and Current of 500kV Multi-circuit Transmission Lines Based on Extreme Random Tree Algorithm
编号:178 访问权限:仅限参会人 更新:2021-12-03 10:45:08 浏览:588次 张贴报告

报告开始:2021年12月17日 15:20(Asia/Shanghai)

报告时间:5min

所在会场:[Z] Poster Session [Z4] Poster Session 4: High voltage and insulation technology

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摘要
   Taking Shandong Power Grid’s Yantai 500 kV switch station--Zhongxing Penglai Power Plant’s multi-circuit transmission line on the same tower as an example, a multi-circuit transmission line model on the same tower was established to study the induced voltage and induced current between the multi-circuit transmission lines. Under the above conditions, a digital simulation of the power system is carried out. Through calculation and analysis, the factors that affect the magnitude of the induced voltage and induced current between the circuits when the multi-circuit transmission line is erected on the same tower are obtained. Based on these influencing factors, the use of machine learning algorithms to quickly and accurately predict the magnitude of the induced voltage and induced current is of great significance for judging the insulation requirements of switchgear for switching induced currents and the selection of grounding switches.
关键词
induced current,induced voltage,machine learning,multi-circuit lines on the same tower,simulation calculation
报告人
Xu Jiang
Shandong University

稿件作者
Ping Huang Shandong Electric Power Engineering Consulting Institute Co.
Letian Wang Shandong Electric Power Engineering Consulting Institute Co.
Miao Long Shandong Electric Power Engineering Consulting Institute Co.
Xu Jiang Shandong University
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重要日期
  • 会议日期

    07月11日

    2023

    08月18日

    2023

  • 11月10日 2021

    初稿截稿日期

  • 12月10日 2021

    注册截止日期

  • 12月11日 2021

    报告提交截止日期

主办单位
IEEE IAS
承办单位
IEEE IAS Student Chapter of Southwest Jiaotong University (SWJTU)
IEEE IAS Student Chapter of Huazhong University of Science and Technology (HUST)
IEEE PELS (Power Electronics Society) Student Chapter of HUST
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