ANN Based Location of Fault for 500KV Transmission Line in Sudan from Merowe to Atbara
DOI:
https://doi.org/10.54388/jkues.v2i2.232Keywords:
Transmission line, Artificial Neural Networks, Fault locationAbstract
Today, transmission lines have become one of the important core components in systems of electrical power that are used to transport energy. Since transmission lines are prone in nature, the probability of failures in transmission lines is generally higher than that of other major components. This paper presents the fault of the transmission line from Merowe to Atbara in northern Sudan using artificial neural networks. A transmission line model was created in MATLAB R2014a using SIMULINK and SIMSCAPE with the SIMPOWERSYSTEM toolbox. The current and voltage values obtained from the transmission line model have been used as an entry for artificial neural networks. The results obtained from the proposed artificial neural networks were acceptable and the networks were found to be practically practicable for implementation. The significance of picking the most proper artificial neural network, to get the best performance from the neural networks.
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