Analysis and Comparison of Artificial Neural Network and Traveling Wave Algorithm for Distribution Networks Fault Location

This article will investigate and compare using the traveling wave with the artificial neural network to locate the fault in the distribution network. Regardless of the fault type, whether it is transient or permanent, these faults as two groups of faults in the distribution network can lead to variations in network components in the best scenario and power outage in the worst scenario, both of which are to the detriment of the distribution network and consumers. Therefore, according to the companies' commitment to providing the consumers with stable and standard power, monitoring and analyzing the network is highly necessary. However, it is of paramount importance to repair and fix the network as soon as possible at the time of the fault occurrence, especially permanent fault, which calls for knowing the location of the fault. Accordingly, fault location methods play a pivotal role in reducing undistributed power in the distribution network, and to better understand the issue, the analysis, and comparison between traveling wave and artificial neural network methods for locating the occurred fault will be provided utterly in the following. Finally, the research results and suggestions for use in distribution networks will be presented.