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Abstract
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Power distribution networks are vulnerable to different faults, which compromise the grid performance and need to be managed effectively. Automatic and accurate fault detection and
location are key components of effective fault management. This paper proposes a new framework
for fault detection and location for smart distribution networks that are equipped with data loggers.
The framework supports networks with mixed overhead lines and underground cables. The proposed
framework consists of area detection, faulty section identification, and high impedance fault location.
Firstly, the faulty zone and section are detected based on the operation of over-current relays and
digital fault recorders. Then, by comparing the recorded traveling times at both ends of lines, which are related to the protection zone, the faulty line is identified. In the last step, the location of the fault is estimated based on discrete wavelet transform. The proposed method is tested on a 20 kV 13 node network, which is composed of overhead lines and underground cables. The method is
tested in both balanced and unbalanced configurations. The obtained results confirm the advantages
of the proposed method compared with the current state-of-the art.
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