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首页> 外文期刊>IEEE systems journal >Wavelet and Denoising Techniques for Real-Time HIF Detection in 12-kV Distribution Circuits
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Wavelet and Denoising Techniques for Real-Time HIF Detection in 12-kV Distribution Circuits

机译：用于12 kV配电线路中HIF实时检测的小波和降噪技术

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摘要

A new two-step technique, which combines both adaptive soft denoising algorithms and orthogonal discrete wavelet transform (DWT) algorithms for detecting the high-impedance fault (HIF), is presented in this article. Three testing events in a 12-kV distribution network are performed at Southern California Edison (SCE) and the recorded datasets are employed for this experimental study. Case #0002 is the normal condition and is employed as the baseline for making up the heuristic HIF testing threshold. Both cases #0012 and #0047 have HIF events. Based on the results from the simulation, this detection technique is capable to fast and accurately detect the HIF without making false alarms. Due to the simplicity of designed algorithms, this new technique can be implemented with a digital signal processor for real-time HIF detection.
机译：本文提出了一种新的两步技术，该技术结合了自适应软降噪算法和正交离散小波变换（DWT）算法来检测高阻抗故障（HIF）。在南加州爱迪生（SCE）进行的12 kV配电网络中进行了三个测试事件，并将记录的数据集用于该实验研究。情况＃0002是正常情况，被用作弥补启发式HIF测试阈值的基准。情况＃0012和＃0047都具有HIF事件。根据仿真结果，该检测技术能够快速准确地检测HIF，而不会产生误报。由于设计算法的简单性，可以使用数字信号处理器来实施这项新技术，以进行实时HIF检测。

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