Wavelet and Denoising Techniques for Real-Time HIF Detection in 12-kV Distribution Circuits

Abstract

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.