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High Impedance Faults 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 High Impedance Fault detection. In the paper, the authors describe their experiences, insights and lessons learn 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.
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