Reliability Analysis of State Self-sensing Transmission Assets
ID：177
Submission ID：173 View Protection：ATTENDEE
Updated Time：2021-12-09 12:09:38
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Poster Presentation
Start Time：2021-12-17 15:15 （Asia/Shanghai）
Duration：5min
Session：[Z] Poster Session » [Z4] Poster Session 4: High voltage and insulation technology
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Abstract
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.
Keywords
reliability analysis,transmission assets,transmission tower IoT,insulator leakage current,tower stress
Speaker
Zhe Hu
electrical engineeri Tsinghua University；Sichuan Energy Internet Research InstituteZhe Hu received the B.S. degree in Electrical Engineering and Automation from China university of petroleum in 2019. He is current with Sichuan Energy Internet Research Institute, Tsinghua University. His research interests include life cycle analysis, status assessment, and reliability assessment of power gird assets.
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