Development of Transmission Line Abnormal Warning and Fault Location Device

Zhong Zhaobin, Zhang Qiran, Ye Qing, Yi Wei, Zhao Yongqiang, Chen Tao
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Abstract

Electric transmission lines are distributed in the field, which is prone to abnormal discharge and even tripping accidents due to various natural factors. At present, it mainly relies on manual regular line patrol and traditional fault location device troubleshooting. There are problems such as insufficient positioning accuracy, inability to predict hidden dangers efficiently and accurately, and power failure due to insufficient power supply. Aiming at the functions of fast and accurate fault identification, location and hidden danger warning, a transmission line abnormal warning and fault location device is proposed. The intelligent device adopts distributed traveling wave measurement technology and is distributed on electric transmission line conductors. On the hardware, it combines the acquisition of power frequency signal, traveling wave signal and hidden danger signal, and the power supply mode mainly based on inductive power extraction and solar power extraction and assisted by lithium battery, which provides rich data resources and improves the power supply stability of the device. In software, the traditional threshold judgment is upgraded to the comprehensive analysis and judgment of multiple signal dynamic trend change algorithms, which effectively improves the fault recognition rate and accuracy. The device has been tested by the third party testing institution and has high fault location accuracy and hidden danger warning accuracy.
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输电线路异常报警与故障定位装置的研制
输电线路分布在野外,由于各种自然因素的影响,容易发生异常放电甚至跳闸事故。目前主要依靠人工定期线路巡检和传统的故障定位装置故障排除。存在定位精度不足、无法高效准确地预测隐患、供电不足导致停电等问题。针对快速准确的故障识别、定位和隐患预警功能,提出了一种输电线路异常报警和故障定位装置。该智能装置采用分布式行波测量技术,分布在输电线路导线上。硬件上结合工频信号、行波信号和隐患信号采集,供电方式以感应取电和太阳能取电为主,锂电池辅助,提供了丰富的数据资源,提高了设备的供电稳定性。在软件上,将传统的阈值判断升级为多种信号动态趋势变化算法的综合分析判断,有效提高了故障识别率和准确率。设备经过第三方检测机构检测,具有较高的故障定位精度和隐患预警精度。
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