Wavelet criteria for identification of arc intermittent faults in medium voltage networks

This paper presents two novel criteria for identification of arc earth faults in medium voltage (MV) networks. These criteria are based on the discrete wavelet transform (DWT). The product of zero sequence current and voltage details is used to detect and to discriminate the internal faults from the external ones. New criteria ware tested in a MV network. The test results show that the new criteria are very selective, accurate and effective, especially during arc intermittent short-circuits in compensated networks.