Fault identification in electrical power systems
Corressponding author's email:
anhhq@hcmute.edu.vnKeywords:
Neural network, transmission line, relay, fault identificationAbstract
This paper proposed using neural networks to detect and classify the types of electrical faults on transmission lines. The data set was created by using Power World software and online training with Matlab software. Efficient identification is illustrated by example fault identification and classification of power system IEEE 9 buses, with the number of training samples is 1280 which are corresponding to the failure mode. Feed – forward neural networks in the one hidden layers with high accuracy, the result that demonstrates can replace protective relay systems in power transmission with recognition system which is proposed.
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References
Stanley H. Horowitz, Power System Relaying, Wiley 2008.
Vladimir Gurevich, Digital Protective Relays, CRC 2011.
Slavko Vasilic, B.S., University of Belgrade, Serbia , Fuzzy Neural Network Pattern Recognition Algorithm for lassification of the Events in Power System Networks, May 2004.
Zhigang Zeng, Advances in Neural Network Research and Applications, Springer 2010.
Jengnan Juang, Intelligent Technologies and Engineering Systems, Springer 2013.
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