High Impedance Faults (HIFs) are known to be extremely hard to detect. At the same time the efficient detection of them is very important to electric power providers. One of the challenges belonging to a Smart Grid paradigm is how to use new data not available before to improve methodology of HIF detection. In the paper we describe our experiences, insights and lessons learnt from actual field experiments. A series of experiments was conducted that simulated most common High Impedance Faults. The data was recorded at 256 samples per cycle at 4 stations located at different places on a feeder. We describe the experiments, the process of acquiring the data and how we used it. Also, we discuss challenges we encountered and what we have learned in the process.
By: Tomasz Nowicki; Grzegorz Swirszcz; Mark Yao
Published in: RC24998 in 2010
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