Perancangan Alat Monitoring Arus Bocor pada Kabel 20 kV Menggunakan Filter Kalman Berbasis Internet of Things

Adi Franata H Sitanggang, Yuliyanto Agung Prabowo
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引用次数: 0

Abstract

One of the problems that often occurs in the use of ground cables is insulation failure. This condition can cause leakage current in the 20 kV cable on the secondary side of the transformer. The greater the value of the leakage current, the more heat will cause the insulation to worsen. If this condition is not handled immediately, it can lead to the opportunity for a short-circuit current between the phase and ground. Therefore, an Internet of Thing-based monitoring tool is needed that can determine the amount of leakage current contained in the 20 kV cable on the secondary side of the transformer by applying the Kalman filter method and sending it to the substation operator using Wifi. Based on the test, it was found that the implementation of this monitoring tool obtained more constant measurement results than the actual measurement value using a measuring instrument with an average error per phase, 1.5594% phase R, 1.5535% phase S, 1.5548% phase T.
基于物联网冷过滤器的20kV电缆Bocor流量监测工具设计
在使用接地电缆时经常出现的问题之一是绝缘故障。这种情况可能会导致变压器二次侧20 kV电缆出现泄漏电流。泄漏电流的值越大,热量越大,绝缘性能就会恶化。如果不立即处理这种情况,可能会导致相位和接地之间出现短路电流。因此,需要一种基于物联网的监测工具,该工具可以通过应用卡尔曼滤波器方法来确定变压器二次侧20kV电缆中包含的泄漏电流量,并使用Wifi将其发送给变电站操作员。基于测试,发现该监测工具的实施获得了比使用测量仪器的实际测量值更恒定的测量结果,每个相位的平均误差为1.5594%的R相、1.5535%的S相、1.5548%的T相。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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