173 / 2021-10-30 12:14:29
Reliability Analysis of State Self-sensing Transmission Assets
reliability analysis,transmission assets,transmission tower IoT,insulator leakage current,tower stress
终稿
Huikun Pei / Shenzhen Power Supply Co., Ltd.
Chen Wang / Shenzhen Power Supply Co., Ltd.
Zhe Hu / Sichuan Energy Internet Research Institute, Tsinghua University
Zhenhua Wang / Ltd.;Shenzhen Power Supply Co.
Minjie Zhu / Shenzhen Power Supply Co., Ltd.
Te Zhou / Tsinghua University;Sichuan Energy Internet Research Institute
The reliability of transmission equipment is an important factor affecting the normal operation of overhead transmission lines. Especially in the scenario of transmission tower Internet of Things (IoT), how to evaluate the reliability of transmission equipment based on massive self-sensing real-time data has become the focus of research. This paper starts from the insulator leakage current sensor and tower stress sensor installed on 110-500 kV transmission tower. Based on historical data, MATLAB software is used to study the wavelet analysis model for input signals. Combined with the extreme value risk equation, the probability of transmission equipment failure in the future is analyzed. On this basis, the analytic hierarchy process and the fault probability determination method based on extreme risk are used to determine the reliability of equipment.  The research results are of great significance for the timely evaluation of equipment reliability of transmission towers, thereby reducing the operation and maintenance costs.
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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