Self-powered sensing of power transmission lines galloping based on piezoelectric energy harvesting

能量收集 导线 电力传输 振动 功率(物理) 电气工程 电压 振幅 工程类 输电线路 声学 控制理论(社会学) 计算机科学 材料科学 物理 人工智能 复合材料 量子力学 控制(管理)
作者
Sihang Gao,Xisong Zeng,Bo Tao,Tingjing Ke,Shaoxuan Feng,Yiduo Chen,Jie Zhou,Wenyu Lan
出处
期刊:International Journal of Electrical Power & Energy Systems [Elsevier BV]
卷期号:144: 108607-108607 被引量:34
标识
DOI:10.1016/j.ijepes.2022.108607
摘要

Online monitoring sensors are a feasible solution for conductor galloping that greatly harms the stable operation of power transmission systems. However, power supply that drives sensors has become one of the bottlenecks restricting the development of distributed sensing systems. This work initially proposes harvesting the energy of conductor galloping and joint utilization to assess conductor galloping degree. A swinging piezoelectric energy harvester based on frequency boost conversion is also proposed. The output characteristics of harvester and the physical validation of the scale model of power transmission line galloping are further explored. Experiment results showed a maximum output voltage and current of 29.6 V and 29 µA, respectively, under the characteristic conditions of conductor galloping. The corresponding load capacity of the harvester reached a maximum power output of 155.58 µW under minimum resistance of 70 kΩ at 35 cm vibration amplitude and 1.3 Hz frequency. The conductor galloping testing platform indicated that the frequency boost conversion effect was weakened due to the occurrence of torsion movement during conductor galloping, and the output presented a nonlinear variation with the vibration amplitude and frequency. The degree and direction of conductor galloping can be preliminarily judged according to the output trend, and the maximum output power of load capacity of the harvester reached 101.5 μW under 107 MΩ resistance at 1.3 Hz vibration frequency, validating that the proposed energy harvesting system is promising for self-powered sensing applications in low-power monitoring sensors for conductor galloping. © 2017 Elsevier Inc. All rights reserved.
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