基于电力线数据的电网识别信号处理

2016 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE) Pub Date : 2016-12-01 DOI:10.1109/WIECON-ECE.2016.8009106

Shoilie Chakma, D. Chowdhury, M. Sarkar, Mohammad Zakaria Haider, S. Fattah

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引用次数: 3

摘要

从不同的电网中获得的电力记录具有不同的模式，无法清楚地预测。这些电力线数据可以通过检测它们的模式来识别记录的区域。通常使用配电网的电网频率(ENF)来估计记录的位置。现有的技术估计ENF在基频50/60Hz左右。本文提出了一种利用标称频率不同次谐波的ENF对电网进行分类的方法。该方法不依赖于功率参考来区分不同的电网。它应用了清洁电力信号的特征提取技术，该信号可以通过电源插座使用降压变压器和分压器直接从电源测量。

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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Power line data based grid identification using signal processing

Power recordings obtained from different grids have different patterns which are not clearly predictable. These power line data can be used to identify the region of recordings by detecting their pattern. Normally The Electric Network Frequency(ENF) of power distribution network is used to estimate the location of recordings. Existing techniques estimate ENF around the base frequency of 50/60Hz. In this paper a technique is proposed to classify the grids by exploiting the ENF at different harmonics of nominal frequency. This method does not rely on power references to differentiate amongst various power grids. It applies feature extraction techniques of clean power signal which can be measured directly from the power mains through electrical outlet using a step-down transformer and voltage divider.

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来源期刊

2016 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE)

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