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The real-time condition monitoring system of gapless arrester based on ZigBee protocol and third harmonic leakage current as indicator parameters

机译:基于ZigBee协议的无栅栏避雷器的实时状况监测系统和三次谐波漏电流作为指示器参数

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Monitoring the condition of arrester in service have been presented in the past.Several methods of monitoring the condition of surge arrester were introduced by many researchers.Some and almost all the methods are based on measuring the leakage current.The goal of this study is to design a portable arrester condition monitoring system which is capable of performing arrester health analysis without the need for a voltage source reference - the design based on the previous research which introduces the new method to discriminant the resistive leakage current from total leakage current.The method for diagnosing arrester health is only with the leakage current waveform.The advantage of not needing the voltage reference is that the system can ultimately be used in the field where access a voltage reference about 150 kV is not practical.The design employs a ZigBee wireless protocol as well as a microprocessing based system utilizing an Arduino microcontroller.The ground side current from the arrester is fed through a resistor,which can then be used as a read voltage.The Lab VIEW based graphical user interface was prepared to analyze an arrester's data.The user connects the GUI to the Arduino via ZigBee,samples the waveform from an arrester and then additional data processing is executed.The main part of this processing involves the modified shifted current method on the sampled waveform.Upon conclusion,the user is left with only the resistive component of the arrester leakage current,which is displayed in both the time and frequency domains for analysis.
机译:在过去的情况下提出了监测避雷器的条件。许多研究人员引入了监测避雷器的状况的判断方法。一些研究人员,几乎所有的方法都是基于测量泄漏电流。本研究的目标是设计便携式避雷器状态监控系统,该系统能够进行避雷器健康分析,无需电压源参考 - 基于先前研究的设计,介绍了从总漏电流判断电阻漏电流的新方法。方法诊断避雷器的健康仅采用漏电流波形。不需要电压参考的优点是系统最终最终可以在访问电压参考约150 kV的情况下使用的领域。设计采用ZigBee无线协议以及利用从一个Arduino microcontroller.The接地侧电流的微处理为基础的系统避雷器通过电阻馈送,然后可以用作读取电压。基于实验室视图的图形用户界面准备分析避雷器的数据。用户通过ZigBee将GUI连接到Arduino,从避雷器上采样波形然后执行额外的数据处理。该处理的主要部分涉及在采样波形上的修改的移位电流方法.UPON结论,仅使用避雷器漏电流的电阻分量,这两者都留下分析频域。

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