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Automatic Evaluation of Partial Discharges Presence in Surge Arresters and Current Transformers Installed in Substations Without Equipment Shutdown

机译:局部排出的自动评估在浪涌避雷器和电流变压器中安装在没有设备关闭的变电站中

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Nowadays the identification of substation surge arresters (SA) and current transformers (CT) with partial discharges (PD) is carried out by a specialist, who analyzes the signals over time and compares them to those observed in laboratory with a characteristic PD signature. It makes use of a technique developed in the Electrical Energy Research Center (CEPEL), Brazil, that employs high frequency sensors, without the need to shut down the equipment. This paper proposes a new methodology for automatic detection of PD in these equipment. It is based on the extraction of discriminating characteristics of the signals measured in SA and CT over time and on the use of classification techniques standards capable of telling apart signals from equipment with and without internal PD. Energy companies may therefore better manage equipment replacement in case of indication of operational failure, thus increasing the reliability of the electrical system.
机译:如今,具有部分放电(PD)的变电站浪涌避雷器(SA)和电流变压器(CT)的识别由专业人士进行,他们随着时间的推移分析信号并将它们与具有特征PD签名观察到的实验室中观察到的那些。它利用了在Brazil中电能研究中心(CEPEL)中开发的技术,该技术采用了高频传感器,无需关闭设备。本文提出了一种新的本设备自动检测PD的新方法。它基于在SA和CT中测量的信号的辨别特性随时间的推移以及使用分类技术标准,该标准能够讲述来自带内部PD的设备的设备。因此,在指示操作失败的情况下,能源公司可以更好地管理设备更换,从而提高了电气系统的可靠性。

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