Journals Proceedings

International Journal of Artificial Intelligence and Neural Networks

Fault Location in Sub-Station using Artificial Neural Networks

Author(s) : FARHEEN, M.A.ANSARI, NEHA KARDAM

Abstract

In a power system the detection of the faults is very important. The faults occurred should be detected and corrected as soon as possible in order to protect further damage to the system. The faults can cause very adverse effects to the system. However the fault detection is not an easy task. In this paper we have considered a sub-station and the detection of the faults within that sub-station is done with the help of Artificial Neural Networks. The purpose of using ANN in this work is very simple, As ANN has various advantages like it can handle huge amount of data without any difficulty and it also takes less execution time. The sub-station considered in this work is the 500kV gas-insulated substation of the Itaipu system. The MATLAB software and the ANN toolbox within it is used here and the network is trained and tested.

No fo Author(s) : 3
Page(s) : 24 - 29
Electronic ISSN : 2250-3749
Volume 3 : Issue 1
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